WO1998046976A2 - Method and apparatus for thermal radiation imaging - Google Patents

Method and apparatus for thermal radiation imaging Download PDF

Info

Publication number
WO1998046976A2
WO1998046976A2 PCT/IB1998/001320 IB9801320W WO9846976A2 WO 1998046976 A2 WO1998046976 A2 WO 1998046976A2 IB 9801320 W IB9801320 W IB 9801320W WO 9846976 A2 WO9846976 A2 WO 9846976A2
Authority
WO
WIPO (PCT)
Prior art keywords
color
values
color values
data
spectrum
Prior art date
Application number
PCT/IB1998/001320
Other languages
French (fr)
Other versions
WO1998046976A3 (en
Inventor
Zhong Qi Liu
Chen Wang
Original Assignee
Zhong Qi Liu
Chen Wang
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhong Qi Liu, Chen Wang filed Critical Zhong Qi Liu
Priority to AU86428/98A priority Critical patent/AU8642898A/en
Publication of WO1998046976A2 publication Critical patent/WO1998046976A2/en
Publication of WO1998046976A3 publication Critical patent/WO1998046976A3/en

Links

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/01Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • A61B5/015By temperature mapping of body part
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10STECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S128/00Surgery
    • Y10S128/92Computer assisted medical diagnostics
    • Y10S128/922Computer assisted medical diagnostics including image analysis

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Radiation Pyrometers (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

A method and apparatus for thermal imaging is disclosed which enables a clinician to obtain visual images reflecting metabolic activity within a patient's body. A scanning system is configured to scan an area on the patient's body to obtain infrared intensity data. The data is digitized and processed prior to being displayed. The data processing includes a "slicing" function in which infrared intensity values are assigned color values in accordance with an output window. By redefining the mapping of the output window to the color spectrum, the data can be manipulated such that the visual display reflects metabolic activity within the patient's body under the scanning area.

Description

subside in the 1980's. In the last 10 years, it is believed that very little advancement has been
made in the field of thermography.
If only the temperature of the skin surface can be measured while the relationship
between the surface temperature and the emissions from the inside of the body cannot be
established, then application of thermal imaging technology is limited. It is believed,
therefore, that it would be desirable to provide a method and apparatus for revealing the
relationship between the skin's surface radiation temperature and internal thermal radiation
sources. Through image processing and measurement technology, surface or internal
radiation sources can be non-invasively distinguished through extrapolation. It is believed
that such technology would prove to be clinically effective in the detection and diagnosis of
cancers (especially in their early stages) and other diseases.
The temperature of a live human body is between 20°C and 40°C at room temperature
(20°C). Differences in skin color do not significantly affect the body temperature or the
emission of the thermal radiation. The wavelength of this thermal radiation is between 8 and
13 mm, which is often referred to as "infrared" region in the electromagnetic wave spectrum,
the infrared region having a longer wavelength than the red or near-red spectrum. The physics
of infrared radiation has been investigated extensively, and its application in thermal
metabolism imaging is relatively well-known to those of ordinary skill in the art.
There are various biochemical and biophysical mechanisms that can produce heat in a
live biological body. A biological body will absorb thermal energy if its temperature is below
that of the environment, or will emit thermal energy if its temperature is above that of the environment. The latter condition is the preferred mode of detecting and imaging thermal
metabolic activity.
Superficial (i.e., surface) thermal radiation from the skin of a biological body has
previously been studied. The present invention, on the other hand, involves the thermal
radiation associated with thermal conduction within the body.
There are multiple heat sources within a biological body. Although it is possible to
calculate the thermal radiation from a thermal body by thermodynamics, the complexity of
the boundary conditions associated with the biological body makes this approach impractical.
Therefore, a practically viable method that can be used to solve the problem of imaging
internal heat sources within a thermal body has not heretofore been shown. The present
invention involves formulation of a new method and apparatus for analysis of a thermal
system based on an analogy to electrical circuit theory; this method may be referred to herein
as a "thermal-electric analogue" method.
Infrared radiation passes through a transparent medium, air, for example, at the speed
of light. Thus, heat is transferred in air by thermal radiation. In a material body, on the other
hand, heat transfer is based on thermal conduction resulting in establishment of thermal
equilibrium. From the point of view of thermal radiation, infrared radiation deep within the
body cannot be readily detected from outside. Therefore, there has not heretofore been shown
a method and apparatus for resolving heat sources within the body; prior infrared imaging has
been restricted to viewing objects on the surface of the body. However, in accordance with
one aspect of the present invention, it is proposed that, based on the conduction of heat to
establish thermal equilibrium, thermal sources lying within the body can be imaged. That is, based upon the thermal conditions at the surface of a patient's body, information about
internal regions can be derived through extrapolation.
Thermal metabolism imaging systems used in clinical diagnosis are preferably not
influenced by particular patient conditions or environmental conditions. Prior art thermograph
machines have not been widely used because they generally do not satisfy this requirement.
Accordingly, it is another aspect of the present invention that an imaging system is provided
which is less sensitive disturbance from the patient and from the environment.
SUMMARY OF THE INVENTION
In accordance with one aspect of the present invention, a thermal imaging system
particularly well-suited for medical diagnostic applications is provided. In one embodiment,
the system includes an infrared scanning system including an infrared sensor and associated
optics for scanning an anatomical area of interest, and generating electrical signals which
vary in intensity according to the intensity of thermal radiation at each point in the scanned
area. After digitization, the thermal energy signals are mapped to a color spectrum according
to the intensity of the thermal energy at each point in the scanned image.
In accordance with another aspect of the invention, the system includes a computer for
processing the thermal image data. One processing step is referred to as a thermal radiation
"slice" operation, which involves gradual adjustment of the mapping of thermal intensity data
to color values in a color spectrum. Displaying the thermal data during adjustment of the
color mapping reveals meaningful information about internal sources of thermal energy, facilitating the detection, identification, and/or assessment of certain metabolically significant
internal regions, including, for example, tumors and the like.
BRIEF DESCRIPTION OF THE DRAWINGS
The foregoing and other aspects and features of the present invention may perhaps be
best appreciated with reference to a detailed description of a specific embodiment of the
invention, when read in conjunction with the accompanying drawings, wherein:
Figures la, lb, and lc are diagrams of a thermal system showing the distribution of
thermal radiation emanating from a point heat source and impinging upon a planar surface;
Figure 2 is a schematic diagram of an electrical circuit analogue to the thermal system
of Figure 1;
Figures 3a, 3b, and 3c are diagrams of a thermal system showing the distribution of
thermal radiation emanating from a uniform circular heat source and impinging upon a planar
surface;
Figures 4a, 4b, and 4c are diagrams of a thermal system showing the distribution of
thermal radiation emanating from a three-dimensional Gaussian distributed spherical heat
source and impinging upon a planar surface;
Figures 5a, 5b, and 5c are diagrams of a thermal system showing the distribution of
thermal radiation emanating from a three-dimensional Gaussian distributed spherical heat
source, radiating through an inhomogenious medium and impinging upon a planar surface;
Figure 6 is a block diagram illustrating a thermal imaging system in accordance with a
specific embodiment of the present invention; Figure 7 is a schematic/block diagram of a portion of the system from Figure 6
including scanner, filter, and analog-to-digital converter subsystems;
Figure 8 is a schematic/block diagram of the scanner subsystem from the system of
Figure 6;
5 Figures 9a and 9b are graphs of the output response of the scanner subsystem from
Figure 8;
Figure 10 is a flow diagram illustrating operation of the thermal imaging system of
Figure 6;
Figure 11 is a schematic/block diagram of the scanner subsystem in the imaging
l o system of Figure 6;
Figure 12 is an alternative schematic/block diagram of the scanner subsystem in the
imaging system of Figure 6;
Figure 13 is a plot of an image pulse wave and a line pulse signal present in the
scanning subsystem of Figures 11 and 12;
is Figure 14 is a functional flow diagram illustrating operation of control software for
the imaging system of Figure 6;
Figure 15 is a diagram illustrating color mapping of thermal intensity data generated
by the imaging system of Figure 6;
Figure 16 is a color image of a display screen from the imaging system of Figure 6
20 during a scanning proceedure;
Figure 17 is a diagram illustrating color mapping of thermal data before and after
computer processing in the imaging system of Figure 6; Figure 18 is a diagram illustrating a thermal radiation slice operation performed by the
imaging system of Figure 6 on thermal intensity data; and
Figure 19 is a diagram illustrating the visual display resulting from performing the
thermal radiation slice operation of Figure 18 on thermal intensity data associated with a
suspected anatomical region.
DETAILED DESCRIPTION OF A SPECIFIC EMBODIMENT OF THE INVENTION
As noted above, metabolic activity causes multiple heat sources to exist in a live
biological body. Figure la illustrates a simple case, in which a point heat source designated
S0 is embedded within a homogeneous medium Ml, the medium Ml being further
surrounded by atmosphere M2. A planar interface between medium Ml and medium M2 is
identified with reference numeral 10 in Figure la. Interface 10 extends along an axis
designated "x" in Figure la.
The temperature of S0, Ml and M2 are Tl, T2, and T3, respectively. When Tl is
greater than T2, which in turn is greater than T3, the heat transfer from S0 is shown by
conduction lines 12 in Figure la. As shown in Figure la, point heat source S0 is disposed at a
perpendicular distance D from interface 10. The angle of each conduction line 12 from this
perpendicular is designated as α in Figure la. For α not equal to zero, a conduction line
intersects interface 10 at some distance x=H or x=-H from the origin (x=0), with H in the
range of -n to n.
Figure lb shows the distribution function H(x,y) of the thermal energy radiated from
point heat source S0 on planar interface 10, in steady state under thermal equilibrium. H(x,y) is symmetric if the medium Ml is homogenous and the point source S0 is isotropic. The
pattern of H(x,y) will thus depend upon the thermal properties of medium Ml including its
specific heat and heat conductivity, as well as the distance between S0 and M2, i.e., the
thickness of Ml . Figure lc shows the distribution of H(x) on the x-axis.
To describe the heat conduction from the heat source S0 and the thermal radiation
function H(x,y), and in accordance with one aspect of the present invention, a
thermal/electrical analogy can be made to relate the thermal system to its analog electric
system. The correspondence between quantities in thermal and electrical systems are listed in
the following Table 1 :
Table 1
Figure imgf000009_0001
With reference to Figure la, in medium Ml heat conduction can be thought of as
many conduction lines 12 very close to each other. If it is assumed that the temperature
difference and distance between S0 and M2 is not large, then any given small section of
conduction lines 12 itself does not represent a heat source. Under these assumptions, one of
the conduction lines 12 in the thermal system in Figure la can be analogized to the electrical
circuit shown in Figure 2. In Figure 2, a battery designated UH1 is analogous to the heat source S0. A battery
designated UH3 represents the heat source of air (medium M2 from Figure la). Resistance
RHl in Figure 2 is the internal resistance of UHl, which accounts for the internal heat loss
inside the heat source. Similarly, resistance RH3 corresponds to the heat resistance of the air.
Resistances RH21 through RH2K correspond to the heat resistance of the medium Ml,
specifying the heat loss per unit length of a conduction line 12 within Ml. CH21 through to
CH2K represent the heat capacity of the medium Ml, specifying the heat reserve per unit
length of a conduction line within Ml . Using the circuit of Figure 2, conventional circuit
analysis can be applied, assuming the circuit is under steady state, to obtain an expression for
the transfer function H(x) as follows:
Σ*. H2ι
H(x) = ∑ U (=1
HI χ {uH] -uH3)
RHl + RH3 + Σ H2ι ι=l *.
where
Figure imgf000010_0001
α being the angle of incidence of a given conduction line 12 with plane 10, as noted
above with reference to Figure la, and d being given by the equation
Figure imgf000010_0002
where D is the distance along the x axis between point heat source S0 to interface 10
and RQ is the heat resistance rate of homogenous medium Ml . Thus, along the x axis, the relative radiation distribution is as shown in Figure 1 c, and
on the plane A we get a circular radiation distribution with diameter 2H, as shown in Figure
lb, which is highest in the center and gradually decreases as |x| increases.
For an interface 10 having transverse thermal conduction is 3 to 5 times lower than
internal conduction within medium Ml, when α=45° then H=D and hence D/r = 0.707. This
is referred to as the "half power point."
In an unsteady state, the thermal radiation as a function of time can be used to study
the heat transfer and equilibrium establishment in the medium, such as when additional cold
or heat sources are introduced near the medium, or when the metabolism is changing, for
example, during exercise.
When multiple heat sources exist within a medium, the distribution of H(x,y) can be
calculated as the superposition of the H(x,y) from multiple single point sources. If the
medium Ml is not homogeneous, the inhomogeneity can be simplified to calculate H(x,y) on
the plane A. The following examples show a few typical cases of thermal distributions
H(x,y). In each of these examples, the designation conventions adopted in Figures la-lc are
used; that is, conduction lines are designated with reference numeral 12, the angles of
conduction lines 12 with respect to the perpendicular distance between point heat source S0
and plane 10 are designated as α, and so on.
Figure 3 a shows a heat source S0' having a circular, planar configuration. The thermal
energy distribution H(x,y) on plane 10 is again symmetric and circular, as shown in Figure
3b. As shown in Figure 3c, H(x) along the x axis on plane 10 has a trapezoidal distribution.
The relative width of the sides of the trapezoid decreases when source S0' is farther away from plane 10. As the distance between the source S0' and plane A increases, the source
distribution approaches that of a point source, as previously discussed with reference to
Figures la-lc.
Figure 4a shows a non-uniform, three-dimensional Gaussian distributed spherical heat
source S0". Again, the thermal distribution function H(x,y) shown in figure 4b is substantially
circular. However, as shown in Figure 4c, the energy on the x-axis is has a Gaussian
distribution. Again, the distribution approaches that of a point source (Figures la-lc) as the
distance D between the source and plane 10 increases.
In the foregoing examples, it has been assumed that Ml was a homogenous medium.
Figures 5a-5c illustrate an example of a non-uniform, three-dimensional Gaussian distributed
spherical heat source S0'" within an inhomogeneous medium. The inhomogeneity is
represented by a inhomogenous region designated M3 in Figure 5a. As shown in Figures 5b
and 5 c, the inhomogeneity of the medium introduces perterbations in the thermal transfer
distribution functions H(x,y) and H(x) as compared with those functions corresponding to the
same spherical heat source in a homogenous medium, previously discussed with reference to
Figures 4b and 4c.
The examples of Figures la-lc, 3a-3c, 4a-4c and 5a-5c serve to illustrate the theory
underlying the present invention. In accordance with one aspect of the present invention, a
thermal radiation image of one part of human body is obtained, and information about
internal metabolic activity is detected, derived and/or extrapolated based upon the
fundamental principles of thermal conduction illustrated in the foregoing examples. That is,
the skin surface plays the role of planar interface 10 in the foregoing examples, such that thermal radiation patterns at the skin surface can be used to extrapolate information about
underlying internal metabolic activity, which constitutes the heat source S0 in the examples.
Internal heat sources at different depths and having different shapes are reflected in
different surface patterns in the image. From the above analyses, it is believed that the the
thermal radiation pattern at the skin surface can be detected, observed and measured, and used
to calculate the center point temperature U0. Image processing technology can then be
applied to determine the half power point (i.e., 0.707Uo), the distance between the half power
point and the skin surface being the depth D of the source.
For different parts of a human body, the heat resistance rate (thermal conductivity) is
different. For example, for fatty tissue (adipose), the heat resistance rate R is on the order of
0.1 to 0.15 °C/cm. For muscle R is on the order of 0.2 °C/cm, and for bone, R is generally in
the range 0.3 to 0.6 °C/cm.
Thus, in accordance with one aspect of the present invention, the temperature of intra-
body (i.e., internal) heat sources can be non-invasively ascertained. The difference between
this temperature and normal metabolic thermal radiation temperature is the very useful data,
and it can be used to detect and/or diagnose the nature and characteristics of lesions or
pathology within the body.
The following Table 2 lists the heat production of various cells relative to normal
cells. From the heat generated from a group of cells, the physiological properties of the cells
can be analyzed and the pathological features of the tissues can be diagnosed.
Table 2
Figure imgf000013_0001
Figure imgf000014_0001
To reduce the influence of the measurement distance from the patient to the scanner,
in addition to multiple levels of filtering, a detector sensitive only to radiation wave length
rather than to radiation intensity is preferable.
Among all the factors affecting the thermal radiation from the patient, the most
important factor is the patient. The thermal radiation could be affected by the patient's mental
status, psychological or physiological conditions, or other environmental disturbance. The
normal basal body temperature among different patients can also differ significantly, i.e., by
more than 6 degrees or so. In the prior art, the normal basal temperature of the human body or
a particular anatomic region was averaged from the human population to be used as a
diagnostic standard. This can result in large errors in diagnostic specificity because of the
thermal differences existing among different people.
It has been proposed to use the temperature differences of the corresponding anatomic
regions as a diagnostic standard. This can lead to somewhat improved diagnostic specificity,
but it still may not satisfy the clinical requirement. In accordance with one aspect of the
present invention, therefore, it is proposed to use the normal metabolic thermal radiation
temperature of the a patient himself/herself within the same body region as the reference
temperature value. Clinical trials have shown great improvement of the diagnostic specificity.
The method and apparatus of the present invention avoids the errors due to: (1) the difference
in basal normal temperature among the population; (2) the disturbance from the patient
himself/herself; and (3) disturbances from the environment. In principle, the metabolic regions from which the normal basal temperature of the
patient is obtained include head, extremity, chest, abdominal, dorsal regions, and other large
and uniform areas on the body. The selection of the normal regions should avoid inclusion of
the diseased, adipose, or bony areas.
Figure 6 is a block diagram of a thermal imaging system 50 in accordance with one
embodiment of the present invention. Central to the system 50 is a computer 52, which in the
presently preferred embodiment of the invention is an industry-standard personal computer
system including a microprocessor, such as the commercially-available Intel Pentium™
processor or the like, operating under control of, for example, the Windows 95™ operating
system. Those of ordinary skill in the art, however, will appreciate that various other types of
computers now available or to become available may be equally or even more suitable for the
purposes of practicing the present invention. For the purposes of the present disclosure, it will
be assumed that computer 52 is a system which includes such conventional and well-known
components as a hard disk drive, keyboard, mouse or other cursor control device, and so on.
In use, a patient upon whom thermographic imaging in accordance with the method
and apparatus of the present invention is to be performed is positioned on a scanning bed 54,
within the scanning field of a scanner 56 carried by a scanning gantry 58. The scanner 56 of
the presently disclosed embodiment will be hereinafter described in further detail. As would
be appreciated by those of ordinary skill in the art, scanner 56 functions in a conventional
manner to generate electrical signals corresponding to the intensity and wavelengths of
electromagnetic radiation present in its scanning field. Various scanning systems have been
shown in the art, and although the present disclosure will describe one or more scanners in detail, it is believed that the particular details of the implementation of the scanning system
employed to obtain infrared data is not critical to an understanding of the principles
underlying the present invention, and it is further believed that those of ordinary skill in the
art having the benefit of the present disclosure would be readily able to adapt the teachings of
the present disclosure to the purposes of practicing the present invention.
The electrical signals from scanner 56 are provided as input to an analog-to-digital
(A/D) converter and filtering circuit 60, which performs a filtering and digitization function
on the scanner's output. The digitized scanning signals are then available for processing by
computer system 52. The resulting processed images may then be displayed on display 62,
which may be a high-resolution video monitor or the like. The processed images may also be
output to a printer 64.
The remaining components of thermographic imaging system 50 are more or less
conventional in design and operation. For example, an AC power supply 66 is used to provide
power to various components of system 50. A DC power supply 68 converts AC power from
AC power supply 66 to DC, providing the necessary operational power for an operator
console 70. Console 70 is the means by which an operator of system 50 controls the
activation, movement and positioning of scanning bed 54, scanning gantry 58 and scanner 56.
For example, a "Turn" signal from operator console 70 is provided on line 72 to cause
scanning bed 54 to turn. Similarly a "Move" signal on line 74 controls lateral movement of
scanning bed 54. A "Scan" signal on line 76 is provided to scanner 56 for controlling
activation and deactivation of scanner 56. An "Up/Down" signal provided to scanning gantry
58 controls up and down positioning of gantry 58 and scanner 56. Figure 7 is a slightly more detailed block diagram of a portion of infrared
scanning/imaging system 50 in accordance with the presently disclosed embodiment of the
invention, including filter and A/D converter circuit 60, computer system 52, and scanner 56.
As will be hereinafter described in further detail (in particular, with reference to Figures 11
and 12), scanner 56 includes an infrared detector 98 and various optics and focusing systems
to scan an image field and generate electrical signals representing a matrix of thermal energy
intensity values (256x256 values, in the presently disclosed embodiment, although those of
ordinary skill in the art will appreciate that greater or lesser resolution may be implemented).
The output from scanner 56 is first applied to a low-pass filter circuit comprising a
resistor 80 (a 100Ω resistor in the presently preferred embodiment) and a capacitor 82 (a
0.01 μF capacitor in the presently preferred embodiment). This low-pass filtering reduces the
electronic disturbance or noise from other equipment which might be present in the clinical
environment in which system 50 is used. In the presently disclosed embodiment, the filter
comprising resistor 80 and capacitor 82 attenuates signals over 100 kHz by 40dB or so.
With continued reference to Figure 7, the filtered output from infrared detector 98 is
applied to a preamplifier, as would be familiar to those of ordinary skill in the art, and then
applied to the input of A/D converter 86. In the presently disclosed embodiment, A/D
converter 86 operates at 100 kHZ with 12-bit resolution. The digitized sensor signal is then
provided as input to computer 52 for digital processing in accordance with one aspect of the
present invention.
Turning now to Figure 8, there is shown a schematic/block diagram of a portion of the
thermal imaging system 50 in accordance with the presently disclosed embodiment of the invention, illustrating, in particular, certain details of scanner 56. In Figure 8, the target being
thermally scanned and imaged, i.e., an area of the patient's anatomy, is represented with
reference numeral 88. Thermal (i.e., infrared) radiation from target 88 is represented with
dashed lines 90 in Figure 8. In accordance with one aspect of the present invention, in order
to reduce the influence of the measurement distance between target 88 and scanner 56,
multiple levels of radiation filtering are employed. Additionally, scanner 56 is preferably
sensitive only to radiation wavelength, and not to radiation intensity.
As shown in Figure 8, the thermal radiation 90 first passes through a Germanium
monocrystal filter, designated with reference numeral 92. Germanium monocrystal filter 92,
as will be appreciated by those of ordinary skill in the art, has a transmission fraction of
approximately 90% to radiation having a wavelength of between 8 and 13 μm (typically
referred to as "infrared" radiation), and a transmission fraction of less than 0.1% to visible
light.
Scanner 56 further includes a Germanium coated lens 94 having transmission
characteristics substantially the same as discussed above with reference to Germanium
monocrystal as well as a further Germanium monocrystal filter 96.
The three levels of Germanium filtration just described preferably result in a
transmission fraction of less than 0.1%o for radiation beyond 8 to 13 μm, and less than 0.001%
to visible light for the radiation actually impinging upon the wavelength sensitive detector
designated with reference numeral 98 in Figure 8. This reduces the system's overall
sensitivity to environmental light. Wavelength sensitive detector 98 in the presently disclosed embodiment of the
invention is made of Cd-Hg-Te material. Various infrared detectors suitable for the purposes
of practicing the present invention are known in the art and are commercially available. U.S.
Patent No. 5,034,794 to Murotani, entitled "Infrared Imaging Device" is but one example.
Figures 9a and 9b illustrate the output response for sensor 98 in accordance with the presently
disclosed embodiment of the invention. In particular, Figure 9a shows the output voltage of
sensor 98 as a function of wavelength, and it can be seen from Figure 9a that the output
response is greatest in the wavelength range of 8 to 13 μm. Figure 9b shows the output
voltage of sensor 98 as a function of the distance between sensor 98 and target 88. It is
apparent from Figure 9b that the output response as a function of distance is relatively flat,
rendering system 50 relatively insensitive to variations in distance between scanner 56 and
target 88.
In the presently disclosed embodiment of the invention, wavelength sensitive detector
98 preferably enables the scanner to detect temperatures in the range from 0 to 50°C, with an
accuracy of 0.05°C. In the presently implemented embodiment, a scan takes approximately
five seconds, resulting in a 256x256x8 bit (64kByte) image.
Although the present invention is described herein as incorporating a "single-point"
infrared sensor, i.e., a sensor which is capable of detecting infrared radiation at a single point
within the overall scanning area, it is contemplated that other infrared scanning devices,
currently known or to be developed, may be advantageously employed in the practice of the
present invention. For example, linear or two dimensional (e.g., grid) arrays of multiple
individual sensors are known, and it is believed that those of ordinary skill in the art having the benefit of the present disclosure would be able to readily adapt the presently disclosed
embodiment of the invention to incorporate such different types of sensors for the purposes of
practicing the present invention. A potential advantage of using a linear or two-dimensional
arrays of sensors would be a reduction in the time necessary to scan a given image area. It is
to be understood, therefore, that the present invention is in no way limited to systems
incorporating a single-point sensor.
Figure 10 is a flow chart illustrating operation of system 50 in accordance with the
presently disclosed embodiment of the invention. The first step of system operation,
positioning the patient with respect to the scanner, is represented by block 100 in Figure 10.
To facilitate this, system 50 provides for movement of both scanning bed 54 and scanning
gantry 58 carrying scanner 56, as previously described. In the presently disclosed
embodiment of the invention, scanning gantry 58 is preferably capable of moving from
between 0.4 to 1.6 meters from scanning bed 54. Moreover, gantry 58 is preferably capable of
rotating ± 45° left and right, and ± 30° up and down. All such positioning of gantry 58 is
faciliated by the operator console 70, previously discussed reference to Figure 6.
Similarly, scanning bed 54 is preferably capable of positional adjustment with respect
to gantry 58. In the presently disclosed embodiment, scanning bed 54 is preferably capable of
from between 0.3 and 5.0 meters from scanning gantry 58, and of turning 360° with respect to
gantry 58.
With continued reference to Figure 10, the next step in the operation of system 50 is
to ensure that thermal equilibrium has been established; this is represented by block 102 in
Figure 10. Because of the specific heat of the human body, thermal conduction and establishment of thermal equilibrium in the human body can be a slow process. Thus, it may
require up to 10 to 15 minutes prior to an examination to achieve a thermal equilibrium
condition. On the other hand, the dynamic thermal process can be used to study and measure
the specific heat of the human bodies, as well as to assess pathological or other body
reactions.
The next step in the operation of system 50 is to initiate the scanning operation, as
represented by block 104 in Figure 10. During this operation, thermal radation from the
scanned area of the patient is received by scanner 56 and transformed into analog electrical
signals, as previously discussed.
These analog signals are filtered, preamplified, and applied to the input of A/D
converter 86, as also previously discussed, and as represented by block 106 in Figure 10. The
digitized signals are then provided to computer 52 for processing, as represented by block
108 in Figure 10. The digitized signals received by computer 52 represent a two-dimensional
color image reflecting skin surface temperature of the scanned area. Processing by computer
52, applying the concepts of extrapolation discussed with reference to the examples of
Figures la, lb, lc, 3a, 3b, 3c, 4a, 4b, 4c, 5a, 5b, and 5c is necessary to derive a two-
dimensional image representing the metabolic activity within the patient's body at the
scanned area.
Finally, as represented by block 110 in Figure 10, the resulting processed image,
representing an extrapolation of the surface thermal image to represent internal metabolic
activity, can be displayed, printed, and/or stored by thermal imaging system 50. It is contemplated that system 50 may be capable of various image processing and
diagnostic functions, as would be appreciated by those of ordinary skill in the art, including,
but not limited to: providing a heat source enhance function, whereby 256 colors can be used
to represent temperature differentials of anywhere from 0.01 to 0.1 °C; measurement of heat
radiation at multiple points on the patient; computing the maximum, minimum, and/or mean
temperature within a scanning area; displaying distribution curves of heat radiation in any
horizontal or vertical direction; multiple image comparison; and generation of three-
dimensional images.
Turning now to Figures 1 1 and 12, there are provided alternative schematic/block
representations of the scanning system 56 in accordance with the presently disclosed
embodiment of invention. It is to be understood that Figures 1 1 and 12 are intended to
represent the same scanning system 56; system 56 is merely represented in Figures 1 1 and 12
from different perspectives and with different levels and styles of schematic detail.
Accordingly, identical reference numerals are used in Figures 1 1 and 12 to represent the same
components.
Scanning system 56 as represented in Figures 1 1 and 12 operates as follows: Thermal
radiation from patient 120, represented by ray traces 90 in Figures 1 1 and 12 (as it was in
Figure 8), passes through front optics 124, which includes germanium monocrystal 92,
germanium filter 94 and germanium lens 96, previously described with reference to Figure 8.
Next, thermal radiation 90 impinges upon a vertical optics system 126, an oscillating
reflective system responsible for effectuating scanning in the vertical direction. Vertical
optics system 126 is controlled by a vertical motion control circuit 128. Thermal radiation 90 is then reflected to impinge upon a horizontal or line optics
system 130, also an oscillating reflective system responsible for effectuating scanning in the
horizontal direction. Line optics system 130 is controlled by a line motion control circuit 132.
From line optics system 130, the thermal radiation is reflected to a focusing optics
system 134 which is controlled by a focus adjustment circuit 136. Focusing optics system 134
operates to focus the thermal radiation 90 upon a modulator 136. Under control of a
modulation circuit 138, the vibrations of modulator 136 are used to control the optimal linear
sampling of scanner mirror 130 during the scanning to ensure that the distortion of images are
minimized. Moreover, the thermal radiation will be shielded during the back scanning period
of the scanner mirror 130.
The output of modulator 136 is applied to a sensitive infrared sensor 138, which in the
presently disclosed embodiment of the invention is a point type sensor although it is to be
understood that other commercially-available infrared sensors may be suitable for the
purposes of practicing the present invention. In particular, as noted above, it is contemplated
that linear or two-dimensional arrays of multiple sensors can be employed.
As previously noted with reference to Figures 6 and 7, the output of sensor 138 is fed
to an amplifier and analog-to-digital converter (ADC) circuit 60, which as shown in Figure 7
comprises resistor 80, capacitor 82, amplifier 84 and ADC 86.
Referring to Figure 11, vertical motion control circuit 128 and line (horizontal)
motion control circuit 132 generate signals for synchronizing the horizontal and vertical
scanning of scanner 56, in a conventional way. Vertical motion control circuit 128 generates a
signal "frame synch pulse wave" on a line designated with reference numeral 140 and line motion control circuit 132 generates a signal "line synch pulse wave" on a line designated
with reference numeral 142 in Figure 11.
The frame synch pulse wave and line synch pulse wave signals are depicted in Figure
13. In the presently disclosed embodiment of the invention, the image synch pulse wave
signal, designated generally with reference numeral 144 in Figure 13, is a periodic wave of
pulses of 0.4 mSec duration occurring every 4.8 sec, while the line synch pulse wave signal is
a series of 256 pulses of 0.4 mSec duration pulses occurring every 15.4 mSec, followed by a
0.85 sec "backsweep" interval prior to a subsequent series of 256 pulses.
Image scanning occurs as follows: when a scan is initiated, a frame synch pulse and
the first of 256 line synch pulses is generated. One frame consists of 256 horizontal scan
lines. One line is scanned for every line synch pulse in line synch pulse wave 146. After 256
lines have been scanned, the 0.85 sec back sweep time occurs, enabling the vertical motion
control circut to redirect the scanner to the top of the image, whereupon another frame synch
pulse occurs signalling the start of another image scan.
It is to be understood that the particulars of the scanning arrangement described
above, and of the nature of the frame synch pulse wave 144 and line synch pulse wave 146
may be varied from implementation to implementation. For example, if a different type of
sensor (e.g., a linear or two-dimensional array) were used in a given implementation, the
timing of horizontal and/or vertical scanning may be correspondingly different. It is believed
that those of ordinary skill in the art having the benefit of the present disclosure would be
readily able to adapt the present disclosure in accordance with such design and
implementation variations. The image pulse wave and line pulse waves signals are also provided to ADC 86 in
order to enable ADC 86 to synchronously convert the analog output from scanner 56 to
digital values.
The digitized output from ADC 86 is then provided to computer 52 for processing in
accordance with the present invention. Figure 14 is a functional flow diagram illustrating the
processing operations.
Block 150 in Figure 14 represents the analog-to-digital conversion operation
performed by ADC 86. The digital output of ADC 86 is then processed for intensity
adjustment and geometric compensation, as represented by block 152 in Figure 154. Intensity
adjustment refers essentially to the normalization of the digital data, to compensate for the
variance in base levels of intensity thermal radiation from patient to patient. That is, each
patient will radiate thermal energy over a range or spectrum of intensities whose upper and
lower limits will likely be different than other patients. Intensity adjustment normalizes each
patient's thermal energy spectrum to a common range. (It is to be understood that, at least for
the purposes of the present disclosure, "thermal energy" and "temperature" are not precisely
the same thing, although sometimes "temperature" is used herein as a shorthand reference to
"thermal energy." In particular, after the intensity adjustment step of block 152, a given
"thermal energy" level, when quantified, may not correspond to the same "temperature"
(measured, for example, in degrees centigrade), for two different patients. In any event,
"thermal energy" will be reflected by the intensity of thermal or infrared radiation, which is
fundamentally what the present invention concerns.) With continued reference to Figure 14, the geometric compensation processing
performed in block 152 refers to spatial processing of the digitized thermal data to
compensate for the essentially sinusoidal modulation of the scanned data arising from the
oscillatory nature of the horizontal and vertical optics systems 126 and 130. It is believed that
those of ordinary skill in the art will appreciate that, as optics systems 126 and 130 oscillate
back and forth to accomplish the scanning of a scanning area, the effective geometric
relationship between scanned points may be modulated in, for example, a sinusoidal or
pseudo-sinusoidal manner, and that a compensatory manipulation of the data may be
necessary to establish the true geometric relationship between adjacent scanned points in the
scanning area.
After processing in block 152, the processed data is then subjected to color mapping,
in block 154. In the presently disclosed embodiment of the invention, color mapping refers to
the assignment or mapping of color values to each thermal intensity increment within the
overall thermal intensity spectrum of the scanned area. This color mapping or coding
operation in accordance with the presently disclosed embodiment of the invention can
perhaps be best understood with reference to Figure 15. For the purposes of Figure 15, it is
assumed that the range or spectrum of thermal intensity values in the scanned area, after
intensity adjustment in block 152 (referred to herein as the "input window"), referred to with
reference number 155 in Figure 15, ranges between 13.90 and 39.50 (again, units for these
values are more or less arbitrary, and do not necessarily correspond with "temperature" in
degrees centrigrade). (As a matter of nomenclature, the maximum radiation intensity value in
the input window will be referred to as IWMA and the minimum radiation intensity level in the input window will be referred to as IWMIN. In Figure 15, IWMAX is 39.50 and IWMIN
isl3.909.)
Figure 15 shows a color spectrum 156 which ranges from white (at the top, in Figure
15) to black (at the bottom), with red, orange, yellow, green, blue, indigo, and violet regions
in between. For the purposes of Figure 15, it is to be understood that each of the color regions
(red, orange, yellow, etc..) is not a single color, but rather a range of colors, such that there is
no distinct division between any two regions (as the black-and-white representation in Figure
15 might otherwise suggest). That is, spectrum 156 is a conventional color spectrum which
gradually transitions along the colors of the spectrum of visible colors. Numerically,
however, the entire spectrum 156 can be represented by a range of discrete color values, for
example, 256 color values ranging from 0 to 255.
As shown in Figure 15, one distinctive region or color value of spectrum 156 (white
in the disclosed embodiment), is preferably reserved for assignment to the highest intensity in
the input window 155, IWMAX=39.50 in the present example. Successively lower increments
of the input window are assigned to correspondingly successively lower locations in the red
region, then the orange region, the yellow region, etc., with the lowest increment of the input
window, IWMIN= 13.90 in the present example, being assigned or mapped to the bottom of
color spectrum 156. In other words, the process of "mapping" input window 155 to spectrum
156 involves mapping IWMAX to the highest color value in spectrum 156, mapping IWMIN to
the lowest color value in spectrum 156, and mapping input window values between IWMAX
and IWMIN evenly to the color spectrum values between the highest and lowest. In the presently disclosed embodiment of the invention, spectrum 156 is divided into
256 distinct color values 0-255, such that, for example, the highest intensity value IWMAX is
assigned color value 255 and the lowest intensity value IWM1N is assigned color value 0.
Those of ordinary skill in the art will appreciate, therefore, that depending upon the
magnitude of the thermal intensity input window 155, some intensity values may be assigned
to the same color value (if the number of increments of intensity in the input window 155
exceeds 256) or, conversely, some color values may not have intensity values assigned to
them (if the number of increments of intensity in the input window 155 is less than 256). In
the illustrative example of Figure 15, however, the number of increments in the input window
155 is advantageously selected to be 256, such that there is a one-to-one correspondence
between the number of intensity increments and the number of color values in spectrum 156.
This is, however, not believed to be essential for the purposes of practicing the present
invention.
(Some more or less arbitrary assumptions are made for the purposes of the illustrative
embodiment of Figure 15 which are not critical for the purposes of the present invention. For
example, it is assumed in Figure 15 that the input window of thermal intensity values is
divided into increments of tenths of a unit; also, the order of succession of colors in spectrum
156 is also more or less arbitrary. It is to be understood that such assumptions can be varied
for the purposes of practicing the present invention. For example, it may be desired to
increase or decrease the size of successive increments in the thermal intensity input window
155 (e.g., to halves of units, or hundreths of units), and/or to re-order the color regions of
spectrum 156. It is contemplated that the sizing or increments in the thermal intensity input window may be controllable on a dynamic basis by the user of the system. That is, it is
contemplated that the control software for the system may include options for adjusting the
sizing or increment (resolution) of the input window.
After color mapping of the thermal intensity input window 155 to spectrum 156, the
thermal data may at this stage be displayed in accordance with such mapping; that is, the
mapping of window 155 to spectrum 156 determines what color value will be assigned to
each data value in the thermal data. This displaying is represented by block 157 in Figure 14,
and such display enables the clinician to view a thermographic image of the scanned area. An
example of such a thermographic image as it might appear on display 62 (see Figure 6) is
designated with reference numeral 158 in the color image of Figure 16. Such a thermographic
158 image is believed to differ from conventional thermographic images in several respects,
as a result, for example, of the filtering and modulating of the thermal radiation as it is
scanned and of the intensity adjustment processing discussed above.
However, in accordance with an important aspect of the present invention, additional
processing of thermal intensity input data is performed to achieve an even further enhanced
diagnostic functionality.
As represented by block 160 in Figure 14, the color-coded thermal intensity input data
from processing block 154 is next subjected, in accordance with one aspect of the present
invention, to what is referred to herein as a thermal radiation "slice process."
The first stage of the slice process involves defining an output intensity window
comprising a range of intensity values preferably smaller than the range of intensity values in
the input intensity window 155. Then, each increment in the output intensity window is mapped to a color value in color spectrum 156. Figure 17 illustrates this process. In the
illustrative embodiment of the invention, a scaling factor of Vi is used to define the output
intensity window, which is designated with reference numeral 162 in Figure 17. That is,
whereas the input intensity window 155 has a range of 25.60 intensity increments (that is,
IWMAX - IWMIN = 25.60), the output intensity window is selected to have one-half of that
range, or 12.80 intensity increments (35.00 - 22.20 = 12.80). (Again, as a matter of
nomenclature, the range of the output window will be deemed to range between a maximum
value OWMAX and a minimum value OWMIN.)
Stated more mathematically, the process of defining output intensity window 162
involves selecting OWMAX and OWMIN such that OWMIN > IWMIN, OWMAX < IWMAX and
(OWMAX - OWMIN) < (IWMAX - IWMIN). For a scaling factor of Vi, (OWMAX - OWMIN) =
^(I MAX - I MIN)-
It is to be understood that the scaling factor for defining the output intensity window
may be selected to be greater or less than ! 2, which is used in Figure 17 merely as an
illustrative example. In the preferred embodiment, in fact, the scaling factor for defining the
output intensity window is among the operational processing parameters which can be
adjusted up or down on a dynamic basis, as will be hereinafter described in further detail.
Having selected the output intensity scaling factor, the output intensity window 162
can then be mapped to spectrum 156, as depicted in Figure 17. In Figure 17, the 12.80
increment range of output intensity window 162 ranges between intensity values OWMAX =
35.00 and OWMIN = 22.20. However, in accordance with one aspect of the present invention,
since output intensity window 162 is smaller than input intensity window 155, it is possible for output intensity window 162 to fall in any 12.80 increment range of the 25.60 increment
range of the input intensity window 155. That is, it is possible to "slide" or adjust the output
intensity window 162 up and down within the input intensity window 155.
The sliding adjustment of output intensity window 162 illustrated in Figure 18, which
shows output intensity window 162 as it is adjusted from a first position (162') in which it is
mapped to an intensity range between OWMIN' = 26.70 and OWMA ' = 39.50 to a second
position (162") in which it mapped an intermediate intensity range between OWMIN" = 22.20
and OWMAX" = 35.00, to a third position (162"') in which it is mapped to an intensity range
between OWM1N'" = 13.90 and OWMAX'" = 26.60. In each case, while the intensity range to
which the output window 162 is mapped is adjusted, the output window 162 continues to be
mapped to the entire color spectrum 156. Thus, for output window 162', intensity value
OWMAX' = 39.50 is mapped to the highest color value in spectrum 156 (the contrasting white
color, in the presently disclosed embodiment), while intensity value OWMIN' = 26.70 is
mapped to the lowest value in spectrum 156. When the output window 162 is adjusted down
(reference numeral 162"), intensity value OWMAX" = 35.00 is mapped to the highest color
value and OWMIN" = 22.20 is mapped to the lowest. Finally, at the lowest adjustment
(reference numeral 162'"), intensity value OWMAX'" = 26.60 is mapped to the highest color
code and intensity value OWMIN'" = 13.90 is mapped to the lowest.
Those of ordinary skill in the art will appreciate that the adjustment of the output
intensity window 162 as described with reference to Figure 18 is readily accomplished by
processor 52 under control of user commands. For example, as in the presently disclosed
embodiment, the output intensity window can be continuously adjusted up or down as illustrated in Figure 18 in response to depression of "up arrow" and "down arrow" keys
associated with computer 52.
The adjustment of the output intensity window mapping as illustrated in Figure 18 is
referred to as a "slicing" function due to a visual effect that is produced as a result of the
adjustment, as will be hereinafter described in further detail.
Once the output window 162 has been mapped to spectrum 156 as just described, the
"slicing" image can then be displayed. That is, by defining the output intensity window
mapping, a new assignment of color values to data in the input thermal data can be performed
in accordance with that mapping. By "in accordance with the mapping," it is meant that each
input data value is assigned the color to which that value in output window 162 is mapped.
(In one embodiment, data values in the thermal data which are below the output window 162
(i.e., data values below OWMIN) are assigned the lowest color value, while data values in the
thermal data which are above the output window 162 (i.e., data values above OWMAX).)
Figure 16 is a color illustration of the image presented to the operator of the system 50
in accordance with the presently disclosed embodiment of the invention, as the image would
appear on display unit 62, which may be a conventional VGA or SVGA computer monitor or
the like, or as it would appear in hardcopy form from printer 64.
As previously noted, the image of Figure 16 includes a display 158 of the input
thermal intensity data, i.e., the scanned thermal image prior to being subjected to the slice
operation described above with reference to Figures 17 and 18. Index labels designated
generally with reference numeral 170 along the right-hand side of input image 158 indicate that the input thermal data from the scan image ranges between 13.90 and 39.50. Spectrum
156 also appears in the display image of Figure 16.
An output image 172 is disposed generally on the right-hand side of the image of
Figure 16. Output image 172 is generated by subjecting the input thermal data used to
generate the input image 158 to the thermal radiation slice processing (block 160 in Figure
14). Index labels designated generally with reference numeral 174, disposed to the left of
output image 172, indicate that the output image 172 spans a thermal intensity range between
OWMIN = 22.20 and OWMAX = 35.00 as depicted in Figure 16.
In accordance with an important aspect of the invention, and as previously described,
the system 50 allows the operator to adjust the output image window up and down. A menu
176 along the bottom of the image of Figure 16 indicates that in the presently disclosed
embodiment, the output image adjustment is accomplished by depressing the "+" or "-" keys
associated with computer 52. In the image of Figure 16, the input intensity window is
represented by bar 155, and can be seen to extend over a range between IWMIN = 13.90 and
IWMAX = 39.50 (25.60 units), while the output intensity window, represented by bar 162,
extends over a range between OWMIN = 22.20 and OWMAX = 35.00 (12.80 units, or an output
window scaling factor of lA, as previously discussed). Menu 176 further indicates that the
"PgDn" and "PgUp" keys associated with computer 52 can be used to narrow or widen the
output image intensity window, i.e, to decrease or increase the output window scaling factor.
Use of the thermal imaging system in accordance with the presently disclosed
embodiment of the invention will now be described. First, the patient is placed in scanning
bed 54 (see Figure 6), and the operator positions the patient appropriately using the control on operator console 70, so that the anatomical area of interest is positioned within the scanning
field.
Next, the thermal scan is performed, to derive a 256x 256 matrix of thermal data to
processed as described above. At this stage, the input image 158 and an output image 172
may be displayed on display 62.
As previously discussed, the present invention is believed to be advantageously
applicable to detection, identification and/or diagnosis of certain disorders, such as cancer,
that are responsible for certain characteristic internal metabolic (i.e., thermal) activity, where
such internal metabolic activity has not heretofore been readily or reliably detectable using
conventional thermographic imaging systems such as have been shown in the prior art. The
thermal radiation "slicing" processing in accordance with the present invention, however,
enables such internal metabolic activity to be more readily detected, identified and perceived.
This is accomplished by identifying certain characteristic variations in the images resulting
from performing the slicing operation on scanning data one or more times. That is, it has been
found that there are certain types of variations in the image which, when detected, can
provide useful information about underlying internal metabolic activity.
After a thermal scan has been taken of an anatomic area of interest, the operator of the
thermal system in accordance with the presently disclosed embodiment of the invention
adjusts the output image 172 such that, in the area of interest, i.e., in an area in which an
internal thermal body, such as a tumor or the like, is suspected of existing, the color value
representing the highest thermal intensity value is mapped to the most thermally intense
location in the area of interest. Visually, this is accomplished by adjusting or shifting the output window up or down until a small white area — initially merely a dot — appears in the
area of interest. (Recall that the highest color value in the spectrum 156 is white, purposefully
in contrast to the color values immediately below, red in the presently disclosed embodiment
of the invention. This purposeful contrast enables the most thermally intense location(s) in an
image to be readily observed).
In Figure 16, the output window has been shifted by the operator so that such a white
dot, designated with reference numeral 178 in Figure 16, has appeared in the patient's left
clavicle region. To better illustrate the diagnostic process in accordance with the presently
disclosed embodiment of the invention, dot 178 is reproduced in Figure 19.
Next, the physician shifts the input temperature window up incrementally. In the
embodiment of Figure 16, a legend 180 indicates the increment for units in the input and
output intensity windows is 0.10, so that shifting output window 162 up one increment will
cause it to span an intensity range from OWMIN = 22.30 to OWMA = 35.10, shifting it up two
increments will cause window 162 to span a range OWMIN = 22.40 to 01WMAX = 35.20, and so
on.
Because of the internal thermal radiation behavior discussed above with reference to
Figures 1-5, an therefore in accordance with an important aspect of the present invention, it
has been clinically found by the inventors that when a metabolically active body (e.g., a
cancer) is present within a patient's body, as the output window 162 is shifted up as described
herein, the region 178 mapped to the color value at the the highest end of spectrum 156 will
tend to increase in size in a more or less consistent and uniform manner. The point at which such sudden, non-incremental or non-uniform transition occurs can, it is believed, be
correlated with the depth of the internal metabolically active region underlying region 178.
Referring to Figure 19, for example, recall that region 178 represented the small white
dot in the scanning area of interest. Assuming that dot 178 is present due to an internal
metabolically active body (e.g., a tumor) when output window 162 is shifted up one
increment, region 178 will enlarge slightly, appearing as a generally well-defined area as
represented by reference numeral 178' in Figure 20. Shifting the output window 162 up one
further increment will cause region 178 to enlarge still further, but still in a more or less
bounded fashion, so as to appear as designated with reference numeral 178", and shifting
window 162 still another increment will cause region 178 to enlarge to appear as designated
with reference numeral 178'". This gradual and more or less uniform enlarging of region 178
can be observed by the operator on display 62.
It has been found that upon further incremental shifting of output window 162, a
suspected region which initially appeared as a dot 178 in Figure 19 and which, upon shifting
the output window incrementally, tended to incrementally enlarge, will at some point
abruptly enlarge in an amoφhous and discontinuous manner as output window 162 is
incrementally shifted. That is, as output window 162 is incremented, causing gradual and
smooth enlargement of region 178, the region will eventually suddenly enlarge, for example,
from the region designated with reference numeral 178'" in Figure 20 to that designated 178""
with only one (or perhaps two) incremental shifts in output intensity window 162. Such
abrupt, non-incremental enlarging is readily distinguished from the gradual, incremental
enlarging that region 178 undergoes at first, and can be readily observed by the operator. While in the presently disclosed embodiment of the invention it is considered that an
operator will be present to observe the sudden, discontinuous expansion of region 178, thus
giving insight into the depth of the underlying metabolic activity reflected by region 178, it is
also contemplated that known or to-be-developed computational algorithms can be applied to
enable certain characteristic changes or variations in the images, such as the first incremental
continuous and later discontinuous expansions (i.e., discontinuities) discussed above to be
detected by means of computer analysis, i.e., without the intervention of human observation,
or at least without the full reliance upon human observation.
In accordance with another important aspect of the present invention, the point at
which the non-incremental and discontinuous transition of region 178 (i.e., the transition from
region 178'" to region 178"") occurs can be correlated to the depth of the internal metabolic
body that the thermal region 178 reflects. That is, the magnitude of the overall shift in output
intensity window 162 which causes region 178 to gradually enlarge from its appearance
designated with numeral 178 to its appearance designated with reference numeral 178"" can
be correlated to the depth of the internal metabolic body. This correlation can take into
account the known relative thermal conductivities of various types of body tissue (fatty tissue,
muscle, bone, etc.), as previously discussed.
As noted above, one advantageous aspect of the imaging system in accordance with
the present invention is its ability to generate accurate and meaningful results in spite of
variations in thermal radiation intensity ("temperature") from patient to patient. This
capability arises in part from a reference value calculation function of the processing software
represented by the flow diagram of Figure 14. The reference value calculation, represented by block 180 in Figure 14, operates in one embodiment as follows: after a thermally radiating
object in an anatomical area of interest has been identified, for example as discussed above
with reference to Figure 19, the system operator uses the mouse or other cursor control device
associated with computer system 52, to identify a reference region at some other anatomical
area appearing in the image likely to have the same thermal characteristics under normal
circumstances. For example, since the region 178 identified in the output image (Figures 16
and 19) in the illustrative example was located on the patient's left shoulder/clavicle area, the
operator may designate an area in the patient's right shoulder/clavicle area as the reference.
Block 180 represents a function of the software executed by processor 52 wherein an
average thermal radiation intensity value is calculated for the reference area identified by the
operator. This value may then be used as a reference against which the thermal intensity of
the suspected region (spot 178) can be compared in order to ascertain the relative intensity
thereof. Block 182 in Figure 14 represents the operation of calculating the thermal intensity
associated with the suspected area. As with the derivation of the reference value, the
operation represented by block 182 in one embodiment involves the operator identifying the
boundaries of the suspected area (for example, by using the mouse or cursor control device
associated with computer 52).
As applied to diagnosis of cancerous conditions, for example, a threshold in the
difference between the thermal radiation intensity of the suspected area (spot 178) and the
reference value can be established, such that suspected areas which exceed this threshold are
considered indicative of a cancerous condition. It is to be noted that, in accordance with one aspect of the present invention, by
assessing the thermal intensity of a suspected area by comparison to a reference value derived
from the patient (as opposed to a reference value taken from a population average, for
example), the effects of patient-to-patient variations in base levels of thermal radiation are
minimized.
Referring now to Figure 20, there is shown still another functional capability of the
system 50 in accordance with the presently disclosed embodiment of the invention. In
particular, illustrated in Figure 20 is a temperature-measurement function whereby the
operator can identify selected locations in a thermal image and cause the temperature at those
locations to be displayed. Using a mouse or other cursor control device associated with
computer 52, the operator causes a set of cross-hairs 190 to move about the image. At desired
locations, the operator then depresses the mouse button or another key associated with
computer 52. This causes the location to be labeled (labels A-K appear in Figure 20), and in a
table 192 to the left of the image, the respective temperatures corresponding to the selected
points are listed. This function may be advantageously employed to identify areas of high
thermal radiation, suggesting that a suspicious internal thermal body is present in those areas
and indicating, therefore, that the thermal "slicing" operation should be performed with data
in the area to further assess the condition.
From the foregoing detailed description of a specific embodiment of the invention, it
should be apparent that a method and apparatus for thermal radiation imaging has been
disclosed. In accordance with a significant aspect of the invention, the method and
corresponding apparatus enables thermal radation data to be processed in such a manner so as to facilitate generation of images reflecting internal thermal conditions, i.e., thermal
conditions inside a human body.
Although a specific embodiment of the present invention has been disclosed herein in
some detail, this has been done soley for the puφoses of illustrating various aspects of the
present invention, and is not intended to be limiting with respect to the scope of the invention.
It is to be understood that various substitutions, alterations and modifications may be made to
the invention as disclosed, including but not limited to those specifically discussed herein,
without departing from the spirit and scope of the invention as defined in the appended
claims, which follow.
PCT WORLD INTELLECTUAL PROPERTY ORGANIZATION International Bureau
Figure imgf000041_0001
INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERAΗON TREATY (PCT)
(51) International Patent Classification 6 ; (11) International Publication Number: WO 98/46976 G01N A2
(43) International Publication Date: 22 October 1998 (22.10.98)
(21) International Application Number: PCT/IB 98/01320 (81) Designated States: AL, AM, AT, AU, AZ, BA, BB, BG, BR, BY, CA, CH, CN, CU, CZ, DE, DK, EE, ES, FI, GB, GE,
(22) International Filing Date: 26 March 1998 (26.03.98) GH, GM, GW, HU, ID, IL, IS, JP, KE, KG, KP, KR, KZ, LC, LK, LR, LS, LT, LU, LV, MD, MG, MK, MN, MW, MX, NO, NZ, PL, PT, RO, RU, SD, SE, SG, SI, SK, SL, TJ,
(30) Priority Data: TM, TR, TT, UA, UG, UZ, VN, YU, ZW, ARIPO patent
60/042,214 31 March 1997 (31.03.97) US (GH, GM, KE, LS, MW, SD, SZ, UG, ZW), Eurasian patent (AM, AZ, BY, KG, KZ, MD, RU, TJ, TM), European patent (AT, BE, CH, DE, DK, ES, FI, FR, GB, GR, IE, IT, LU,
(71)(72) Applicants and Inventors: LIU, Zhong, Qi [CN/CN]; MC, NL, PT, SE), OAPI patent (BF, BJ, CF, CG, CI, CM, #3-4-101 Furunli, Beijing 100080 (CN). WANG, Chen GA, GN, ML, MR, NE, SN, TD, TG). [CN/CN]; KeJie Fu Hua Building A-101, Shangdi, Beijing 100080 (CN).
Published
Without international search report and to be republished upon receipt of that report.
(54) Title: METHOD AND APPARATUS FOR THERMAL RADIATION IMAGING
(57) Abstract
A method and apparatus for thermal imaging is disclosed which enables a clinician to obtain visual images reflecting metabolic activity within a patient's body. A scanning system is configured to scan an area on the patient's body to obtain infrared intensity data. The data is digitized and processed prior to being displayed. The data processing includes a "slicing" function in which infrared intensity values are assigned color values in accordance with an output window. By redefining the mapping of the output window to the color spectrum, the data can be manipulated such that the visual display reflects metabolic activity within the patient's body under the scanning area.
FOR THE PURPOSES OF INFORMATION ONLY
Codes used to identify States party to the PCT on the front pages ol pamphlets publishing international applications under the PCT.
AL Albania ES Spain LS Lesotho SI Slovenia
AM Armenia FI Finland LT Lithuania SK Slovakia
AT Austria FR France LU Luxembourg SN Senegal
AU Australia GA Gabon LV Latvia SZ Swaziland
Azerbaijan GB United Kingdom MC Monaco TD Chad
BA Bosnia and Herzegovina GE Georgia MD Republic of Moldova TG Togo
BB Barbados GH Ghana MG Madagascar TJ Tajikistan
BE Belgium GN Guinea MK The former Yugoslav TM Turkmenistan
BF Burkina Faso GR Greece Republic of Macedonia TR Turkey
BG Bulgaria HU Hungary ML Mali TT Trinidad and Tobago
BJ Benin IE Ireland MN Mongolia UA Ukraine
BR Brazil IL Israel MR Mauritania UG Uganda
BY Belarus IS Iceland MW Malawi US United States of America
CA Canada IT Italy MX Mexico uz Uzbekistan
CF Central African Republic P Japan NE Niger VN Viet Nam
CG Congo KE Kenya NL Netherlands U Yugoslavia
CH Switzerland KG Kyrgyzstan NO Norway ZW Zimbabwe
CI Cote d'lvoire KP Democratic People's NZ New Zealand
CM Cameroon Republic of Korea PL Poland
CN China KR Republic of Korea PT Portugal cu Cuba KZ Kazakstan RO Romania
CZ Czech Republic LC Saint Lucia RU Russian Federation
DE Germany LI Liechtenstein SD Sudan
DK Denmark LK Sri Lanka SE Sweden
EE Estonia LR Liberia SG Singapore CLAIMS:
1. An imaging system, comprising:
a scanning subsystem for generating digital data corresponding to infrared radiation
from a scanned area of a patient's body;
a processor, coupled to said scanning subsystem to receive said digital data, for
processing said data to generate image data reflecting metabolic activity
internal to the patient's body beneath the scanned surface area.
2. An imaging system in accordance with claim 1, further comprising a display system
for generating a display corresponding to said image data.
3. An imaging system in accordance with claim 1, wherein said digital data comprises
data values corresponding to levels of infrared radiation intensity at a plurality of image
locations within said scanned area.
4. An imaging system in accordance with claim 3, wherein said processor assigns color
values from a predetermined range within a spectrum of color values to each data value, such
that different infrared radiation intensity levels are assigned different color values;
and wherein said color values comprise said image data, such that when said imaging
system generates a display corresponding to said image data, different colors
on said display correspond to different radiation levels in said scanned area. 5. An imaging system in accordance with claim 4, further comprising a control system,
coupled to said processor, said display system, and said scanning subsystem, for facilitating
user control of said imaging system.
6. An imaging system in accordance with claim 5, wherein said processor is responsive
to said control system to adjust said assignment of color values to data values, such that said
display is correspondingly adjusted.
7. An imaging system in accordance with claim 6, wherein said processor assigns said
data values to color values by
(a) defining an output intensity window of data values between a maximum output
data value OWMAX and a minimum output data value OWMIN;
(b) mapping said output intensity window of color values to said spectrum of color
values such that OWMAX is mapped to a highest color value in said spectrum
of color values and OWMIN and is mapped to a lowest color value in said
spectrum of color values, with all data values between OWMAX and OWMIN
being evenly mapped to color values between said highest and lowest color
values in said color spectrum;
(c) assigning color values to said data values in accordance with said mapping in step
(b). 8. An imaging system in accordance with claim 9, wherein said processor adjusts said
assignment of color values to data values to color values by adjusting said mapping of said
output window of color values to said spectrum of color values.
9. An imaging system in accordance with claim 8 wherein said processor adjusts said
mapping of said output window of color values by adding a predetermined incremental value
to both OWMAX and OWMI .
10. A method of radiation imaging, comprising:
(a) scanning a scanning area to obtain digital data values corresponding to levels of
radiation intensity at a plurality of points within said scanned area;
(b) assigning a color value within a spectrum of color values to each digital data
value, to generate image data; and
(c) displaying said image data.
11. A method in accordance with claim 10, further comprising:
(d) adjusting said assignment of color values to obtain adjusted image data; and
(e) displaying said adjusted image data.
12. A method in accordance with claim 11, wherein said step (b) of assigning a color
value to each digital data value comprises:
(f) defining an output intensity window of data values between a maximum output
data value OWMAX and a minimum output data value OWMIN; (g) mapping said output intensity window of color values to said spectrum of color
values such that OWMAX is mapped to a highest color value in said spectrum
and OWMIN and is mapped to a lowest color value in said spectrum of color
values, with all data values between OWMAX and OWMIN being evenly mapped
5 to color values between said highest and lowest color values in said color
spectrum;
(h) assigning color values to said data values in accordance with said mapping in step
(g)-
13. A method in accordance with claim 12, wherein said step (d) of adjusting said
l o assignment of color values comprises :
(i) adding or subtracting a predetermined incremental amount from both OWMAX and
OWMIN to redefine said output intensity window of data values;
(j) mapping said redefined output intensity window of color values to said spectrum of
color values such that OWMAX is mapped to a highest color value in said
is spectrum and OWMIN and is mapped to a lowest color value in said spectrum
of color values, with all data values between OWMAX and OWMIN being evenly
mapped to color values between said highest and lowest color values in said
color spectrum;
14. A method in accordance with claim 13, wherein said steps (b) through (j) are
20 performed by a computer. 15. A method of detecting internal metabolic activity in a patient, comprising:
(a) scanning a scanning area on said patient's body to obtain digital data values
corresponding to levels of radiation intensity at a plurality of points within
said scanned area;
(b) assigning a color value within a spectrum of color values to each digital data
value, to generate image data; and
(c) displaying said image data.
16. A method in accordance with claim 15, further comprising:
(d) adjusting said assignment of color values to obtain adjusted image data; and
(e) displaying said adjusted image data.
17. A method in accordance with claim 16, wherein said step (b) of assigning a color
value to each digital data value comprises:
(f) defining an output intensity window of data values between a maximum output
data value OWMAX and a minimum output data value OWMIN;
(g) mapping said output intensity window of color values to said spectrum of color
values such that OW^χ is mapped to a highest color value in said spectrum
and OWM1N and is mapped to a lowest color value in said spectrum of color
values, with all data values between OWMAX and OWMIN being evenly mapped
to color values between said highest and lowest color values in said color
spectrum; (h) assigning color values to said data values in accordance with said mapping in step
(g)-
18. A method in accordance with claim 17, wherein said step (d) of adjusting said
assignment of color values comprises:
(i) adding or subtracting a predetermined incremental amount from both OWMAX and
OWM N to redefine said output intensity window of data values;
(j) mapping said redefined output intensity window of color values to said spectrum of
color values such that OWMAX is mapped to a highest color value in said
spectrum and OWMIN and is mapped to a lowest color value in said spectrum
of color values, with all data values between OWMAX and OWMIN being evenly
mapped to color values between said highest and lowest color values in said
color spectrum;
19. A method in accordance with claim 18, wherein said steps (b) through (j) are
performed by a computer.
20. A method in accordance with claim 16, further comprising:
(f) detecting at least one predetermined type of variation in said adjusted image as
compared with said image displayed in step (c).
21. A method in accordance with claim 20, wherein said step of detecting is performed by
a computer.

Claims

CLAIMS: 1. An imaging system, comprising: a scanning subsystem for generating digital data corresponding to infrared radiation from a scanned area of a patient's body; a processor, coupled to said scanning subsystem to receive said digital data, for processing said data to generate image data reflecting metabolic activity internal to the patient's body beneath the scanned surface area.
2. An imaging system in accordance with claim I, further comprising a display system for generating a display corresponding to said image data.
3. An imaging system in accordance with claim 1, wherein said digital data comprises data values corresponding to levels of infrared radiation intensity at a plurality of image locations within said scanned area.
4. An imaging system in accordance with claim 3, wherein said processor assigns color values from a predetermined range within a spectrum of color values to each data value, such that different infrared radiation intensity levels are assigned different color values; and wherein said color values comprise said image data, such that when said imaging system generates a display corresponding to said image data, different colors on said display correspond to different radiation levels in said scanned area. <Desc/Clms Page number 42> 5. An imaging system in accordance with claim 4, further comprising a control system, coupled to said processor, said display system, and said scanning subsystem, for facilitating user control of said imaging system.
6. An imaging system in accordance with claim 5, wherein said processor is responsive to said control system to adjust said assignment of color values to data values, such that said display is correspondingly adjusted.
7. An imaging system in accordance with claim 6, wherein said processor assigns said data values to color values by (a) defining an output intensity window of data values between a maximum output data value OWMAX and a minimum output data value OWMIN; (b) mapping said output intensity window of color values to said spectrum of color values such that OWMAX is mapped to a highest color value in said spectrum of color values and OWMIN and is mapped to a lowest color value in said spectrum of color values, with all data values between OWMAX and OWMIN being evenly mapped to color values between said highest and lowest color values in said color spectrum; (c) assigning color values to said data values in accordance with said mapping in step (b). <Desc/Clms Page number 43>
8. An imaging system in accordance with claim 9, wherein said processor adjusts said assignment of color values to data values to color values by adjusting said mapping of said output window of color values to said spectrum of color values.
9. An imaging system in accordance with claim 8 wherein said processor adjusts said mapping of said output window of color values by adding a predetermined incremental value to both OWMAX and OWMIN.
10. A method of radiation imaging, comprising: (a) scanning a scanning area to obtain digital data values corresponding to levels of radiation intensity at a plurality of points within said scanned area; (b) assigning a color value within a spectrum of color values to each digital data value, to generate image data; and (c) displaying said image data.
11. A method in accordance with claim 10, further comprising: (d) adjusting said assignment of color values to obtain adjusted image data; and (e) displaying said adjusted image data.
12. A method in accordance with claim 11, wherein said step (b) of assigning a color value to each digital data value comprises: (f) defining an output intensity window of data values between a maximum output data value OWMAX and a minimum output data value OWMIN; <Desc/Clms Page number 44> (g) mapping said output intensity window of color values to said spectrum of color values such that OWMAX is mapped to a highest color value in said spectrum and OWMIN and is mapped to a lowest color value in said spectrum of color values, with all data values between OWMAX and OWMIN being evenly mapped to color values between said highest and lowest color values in said color spectrum; (h) assigning color values to said data values in accordance with said mapping in step (g).
13. A method in accordance with claim 12, wherein said step (d) of adjusting said assignment of color values comprises: (i) adding or subtracting a predetermined incremental amount from both OWMAX and OWMIN to redefine said output intensity window of data values; (j) mapping said redefined output intensity window of color values to said spectrum of color values such that OWMAX is mapped to a highest color value in said spectrum and OWMIN and is mapped to a lowest color value in said spectrum of color values, with all data values between OWMAX and OWMIN being evenly mapped to color values between said highest and lowest color values in said color spectrum; 14. A method in accordance with claim 13, wherein said steps (b) through (j) are performed by a computer. <Desc/Clms Page number 45>
15. A method of detecting internal metabolic activity in a patient, comprising: (a) scanning a scanning area on said patient's body to obtain digital data values corresponding to levels of radiation intensity at a plurality of points within said scanned area; (b) assigning a color value within a spectrum of color values to each digital data value, to generate image data; and (c) displaying said image data.
16. A method in accordance with claim 15, further comprising: (d) adjusting said assignment of color values to obtain adjusted image data; and (e) displaying said adjusted image data.
17. A method in accordance with claim 16, wherein said step (b) of assigning a color value to each digital data value comprises: (f) defining an output intensity window of data values between a maximum output data value OWMAX and a minimum output data value OWMIN; (g) mapping said output intensity window of color values to said spectrum of color values such that OWMAX is mapped to a highest color value in said spectrum and OWMIN and is mapped to a lowest color value in said spectrum of color values, with all data values between OWMAX and OWMIN being evenly mapped to color values between said highest and lowest color values in said color spectrum; <Desc/Clms Page number 46> (h) assigning color values to said data values in accordance with said mapping in step (g)- 18.
A method in accordance with claim 17, wherein said step (d) of adjusting said assignment of color values comprises: (i) adding or subtracting a predetermined incremental amount from both OWMAX and OWMIN to redefine said output intensity window of data values; (j) mapping said redefined output intensity window of color values to said spectrum of color values such that OWMAX is mapped to a highest color value in said spectrum and OWMIN and is mapped to a lowest color value in said spectrum of color values, with all data values between OWMAX and OWMIN being evenly mapped to color values between said highest and lowest color values in said color spectrum; 19. A method in accordance with claim 18, wherein said steps (b) through (j) are performed by a computer.
20. A method in accordance with claim 16, further comprising: (f) detecting at least one predetermined type of variation in said adjusted image as compared with said image displayed in step (c).
21. A method in accordance with claim 20, wherein said step of detecting is performed by a computer.
PCT/IB1998/001320 1997-03-31 1998-03-26 Method and apparatus for thermal radiation imaging WO1998046976A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU86428/98A AU8642898A (en) 1997-03-31 1998-03-26 Method and apparatus for thermal radiation imaging

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US4221497P 1997-03-31 1997-03-31
US60/042,214 1997-03-31

Publications (2)

Publication Number Publication Date
WO1998046976A2 true WO1998046976A2 (en) 1998-10-22
WO1998046976A3 WO1998046976A3 (en) 1999-02-11

Family

ID=21920677

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB1998/001320 WO1998046976A2 (en) 1997-03-31 1998-03-26 Method and apparatus for thermal radiation imaging

Country Status (3)

Country Link
US (1) US6023637A (en)
AU (1) AU8642898A (en)
WO (1) WO1998046976A2 (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001080729A1 (en) * 2000-04-25 2001-11-01 Gary Rogers Malignancy detection apparatus
EP1196080A1 (en) * 1999-06-21 2002-04-17 Victor John Yannacone, Jr. Method and apparatus for high resolution dynamic digital infrared imaging
WO2005084528A1 (en) * 2004-03-10 2005-09-15 Zhongqi Liu A method for evaluating the effect of modulatory means for physiologic/psycologic conditions
CN103315716A (en) * 2013-06-27 2013-09-25 葛晓松 Infrared three-dimensional thermal imaging scanning system

Families Citing this family (85)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6603988B2 (en) * 2001-04-13 2003-08-05 Kelsey, Inc. Apparatus and method for delivering ablative laser energy and determining the volume of tumor mass destroyed
US6535648B1 (en) * 1998-12-08 2003-03-18 Intel Corporation Mathematical model for gray scale and contrast enhancement of a digital image
US7408156B2 (en) * 1999-06-21 2008-08-05 Yannacone Jr Victor John System and method for identifying and classifying dynamic thermodynamic processes in mammals and discriminating between and among such processes
US7082338B1 (en) 1999-10-20 2006-07-25 Caterpillar Inc. Method for providing a process model for a material in a manufacturing process
US6789051B1 (en) * 1999-10-27 2004-09-07 Caterpillar Inc Method and apparatus for providing a simulation of a welding process using integrated models
US6429868B1 (en) 2000-07-13 2002-08-06 Charles V. Dehner, Jr. Method and computer program for displaying quantitative data
TW519485B (en) * 2000-09-20 2003-02-01 Ind Tech Res Inst Infrared 3D scanning system
US20020132360A1 (en) * 2000-11-17 2002-09-19 Flir Systems Boston, Inc. Apparatus and methods for infrared calorimetric measurements
WO2002061858A2 (en) * 2000-11-17 2002-08-08 Thermogenic Imaging, Inc. Apparatus and methods for infrared calorimetric measurements
US20040110301A1 (en) * 2000-11-17 2004-06-10 Neilson Andy C Apparatus and methods for measuring reaction byproducts
WO2002082988A2 (en) * 2001-04-16 2002-10-24 The Johns Hopkins University Method for imaging and spectroscopy of tumors and determination of the efficacy of anti-tumor drug therapies
JP2003043991A (en) * 2001-08-02 2003-02-14 Fujitsu Hitachi Plasma Display Ltd Plasma display device
KR20030044699A (en) * 2001-11-30 2003-06-09 텔레시스 테크놀러지스 인코포레이티드 Digital infrared thermal imaging system
US6462551B1 (en) 2002-01-18 2002-10-08 Ford Global Technologies, Inc. Method and system to ensure full functionality of battery pack assembly using thermal imaging
KR100416764B1 (en) * 2002-03-21 2004-01-31 삼성전자주식회사 Non-invasive measuring apparatus of a living body and method thereof
CN100553554C (en) * 2003-05-06 2009-10-28 威克特·约翰·小雅那柯尼 Identification and the mammiferous dynamic thermodynamic processes and distinguish the system of this class process of classifying
US7729739B2 (en) * 2003-12-03 2010-06-01 The Board Of Trustees Of The Leland Stanford Junior University Heat diffusion based detection of structures of interest in medical images
KR20070061783A (en) * 2004-07-07 2007-06-14 리얼 이미징 리미티드 3d thermal breast cancer detector
AU2005260988A1 (en) * 2004-07-09 2006-01-19 Intellectual Property Bank Corp. Method for displaying bioinformation using millimeter-wave band electromagnetic wave, device for acquiring and displaying bioinformation
US20070258900A1 (en) * 2004-07-20 2007-11-08 Joseph Francis Blood Flow Assessment of Clostridial Toxin Applications
US20080097219A1 (en) * 2004-07-20 2008-04-24 Allergan , Inc. Thermographic Assessment Of Clostridial Toxin Applications
US7196509B2 (en) * 2004-09-23 2007-03-27 Avago Technologies Ecbu Ip (Singapore) Pte. Ltd. Thermopile temperature sensing with color contouring
DE602005004116D1 (en) * 2005-02-28 2008-02-14 Zhongqi Liu Mobile device for thermal texture imaging
WO2007016048A2 (en) * 2005-07-27 2007-02-08 University Of Massachusetts Lowell Infrared scanner for biological applications
US20100020164A1 (en) * 2005-11-04 2010-01-28 Ronald Perrault Surface Analysis Method and System
US20070153871A1 (en) * 2005-12-30 2007-07-05 Jacob Fraden Noncontact fever screening system
US8073535B2 (en) * 2006-07-19 2011-12-06 Invention Science Fund 1 Radiant energy derived temperature(s)
US8792968B2 (en) * 2006-09-25 2014-07-29 Song Xiao System and method for health evaluation
US8577446B2 (en) * 2006-11-06 2013-11-05 Bobby Kyle Stress detection device and methods of use thereof
US8238624B2 (en) * 2007-01-30 2012-08-07 International Business Machines Corporation Hybrid medical image processing
ATE534341T1 (en) 2007-02-05 2011-12-15 Novian Health Inc INTERSTITIAL LASER THERAPY SETS AND INTERSTITIAL LASER THERAPY CONTROL SYSTEM
US8092507B2 (en) 2007-02-05 2012-01-10 Novian Health, Inc. Interstitial energy treatment probe holders
US8331737B2 (en) * 2007-04-23 2012-12-11 International Business Machines Corporation Heterogeneous image processing system
US8462369B2 (en) * 2007-04-23 2013-06-11 International Business Machines Corporation Hybrid image processing system for a single field of view having a plurality of inspection threads
US8326092B2 (en) * 2007-04-23 2012-12-04 International Business Machines Corporation Heterogeneous image processing system
US8411919B2 (en) * 2008-07-07 2013-04-02 Siemens Aktiengesellschaft Fluid dynamics approach to image segmentation
US8013745B2 (en) 2007-06-15 2011-09-06 University Of Tennessee Research Foundation Passive microwave assessment of human body core to surface temperature gradients and basal metabolic rate
EP2164385B1 (en) * 2007-06-25 2013-02-20 Real Imaging Ltd. Method, device and system for thermography
CN100502767C (en) * 2007-07-11 2009-06-24 武汉昊博科技有限公司 Medical thermal chromatographic imaging system
US8675219B2 (en) * 2007-10-24 2014-03-18 International Business Machines Corporation High bandwidth image processing with run time library function offload via task distribution to special purpose engines
US20090132582A1 (en) * 2007-11-15 2009-05-21 Kim Moon J Processor-server hybrid system for processing data
US9135073B2 (en) 2007-11-15 2015-09-15 International Business Machines Corporation Server-processor hybrid system for processing data
US20090150556A1 (en) * 2007-12-06 2009-06-11 Kim Moon J Memory to storage communication for hybrid systems
US9332074B2 (en) * 2007-12-06 2016-05-03 International Business Machines Corporation Memory to memory communication and storage for hybrid systems
US20090287094A1 (en) * 2008-05-15 2009-11-19 Seacrete Llc, A Limited Liability Corporation Of The State Of Delaware Circulatory monitoring systems and methods
US20090287101A1 (en) * 2008-05-13 2009-11-19 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Circulatory monitoring systems and methods
US20090287109A1 (en) * 2008-05-14 2009-11-19 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Circulatory monitoring systems and methods
US20090287120A1 (en) 2007-12-18 2009-11-19 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Circulatory monitoring systems and methods
US9717896B2 (en) * 2007-12-18 2017-08-01 Gearbox, Llc Treatment indications informed by a priori implant information
US20090287191A1 (en) * 2007-12-18 2009-11-19 Searete Llc, A Limited Liability Corporation Of The State Of Delaware Circulatory monitoring systems and methods
US20090292212A1 (en) * 2008-05-20 2009-11-26 Searete Llc, A Limited Corporation Of The State Of Delaware Circulatory monitoring systems and methods
US8636670B2 (en) 2008-05-13 2014-01-28 The Invention Science Fund I, Llc Circulatory monitoring systems and methods
US8229251B2 (en) * 2008-02-08 2012-07-24 International Business Machines Corporation Pre-processing optimization of an image processing system
US20090204008A1 (en) * 2008-02-08 2009-08-13 Daniel Beilin Whole body infrared thermography systems and methods
US8379963B2 (en) * 2008-03-28 2013-02-19 International Business Machines Corporation Visual inspection system
US8121363B2 (en) * 2008-06-12 2012-02-21 International Business Machines Corporation Thermographic image processing system
US20090326381A1 (en) * 2008-06-27 2009-12-31 Yuan yun-e System and method to facilitate health evaluation and medical diagnosis of a human subject
US8231542B2 (en) * 2008-08-27 2012-07-31 Lifeline Biotechnologies, Inc. System for analyzing thermal data based on breast surface temperature to determine suspect conditions
US8094009B2 (en) * 2008-08-27 2012-01-10 The Invention Science Fund I, Llc Health-related signaling via wearable items
US20100056873A1 (en) * 2008-08-27 2010-03-04 Allen Paul G Health-related signaling via wearable items
US8226572B2 (en) * 2008-08-27 2012-07-24 Lifeline Biotechnologies, Inc. Methods for collecting and analyzing thermal data based on breast surface temperature to determine suspect conditions
US8185485B2 (en) * 2008-08-27 2012-05-22 Lifeline Biotechnologies, Inc. Device for analyzing thermal data based on breast surface temperature for the detection for use in determining cancerous conditions
US8130095B2 (en) * 2008-08-27 2012-03-06 The Invention Science Fund I, Llc Health-related signaling via wearable items
US8125331B2 (en) * 2008-08-27 2012-02-28 The Invention Science Fund I, Llc Health-related signaling via wearable items
US8284046B2 (en) 2008-08-27 2012-10-09 The Invention Science Fund I, Llc Health-related signaling via wearable items
WO2010064249A1 (en) * 2008-12-04 2010-06-10 Real Imaging Ltd. Method apparatus and system for determining a thermal signature
US8923954B2 (en) 2010-07-12 2014-12-30 The Johns Hopkins University Three-dimensional thermal imaging for the detection of skin lesions and other natural and abnormal conditions
US20140303608A1 (en) * 2013-04-08 2014-10-09 Scientific Image Center Management, Inc. System and method for providing treatment feedback for a thermal treatment device
GB2517720B (en) * 2013-08-29 2017-09-27 Real Imaging Ltd Surface Simulation
WO2015061588A1 (en) * 2013-10-23 2015-04-30 The Trustees Of Dartmouth College Surgical vision augmentation system
WO2016018463A2 (en) * 2013-12-23 2016-02-04 Jason Case Methods and systems using led sources to create contrast agents for mid-infrared imaging of blood vessels
US10586618B2 (en) * 2014-05-07 2020-03-10 Lifetrack Medical Systems Private Ltd. Characterizing states of subject
US20160367830A1 (en) * 2015-06-22 2016-12-22 Syneron Medical Ltd. System For Visualizing Treated Skin Temperature
EP3710778A1 (en) * 2017-11-13 2020-09-23 Hexagon Metrology, Inc Thermal management of an optical scanning device
US11443433B2 (en) * 2018-02-10 2022-09-13 The Trustees Of The University Of Pennsylvania Quantification and staging of body-wide tissue composition and of abnormal states on medical images via automatic anatomy recognition
US11079285B2 (en) 2018-05-04 2021-08-03 Raytheon Technologies Corporation Automated analysis of thermally-sensitive coating and method therefor
US10902664B2 (en) 2018-05-04 2021-01-26 Raytheon Technologies Corporation System and method for detecting damage using two-dimensional imagery and three-dimensional model
US10928362B2 (en) 2018-05-04 2021-02-23 Raytheon Technologies Corporation Nondestructive inspection using dual pulse-echo ultrasonics and method therefor
US11268881B2 (en) 2018-05-04 2022-03-08 Raytheon Technologies Corporation System and method for fan blade rotor disk and gear inspection
US10914191B2 (en) 2018-05-04 2021-02-09 Raytheon Technologies Corporation System and method for in situ airfoil inspection
US10943320B2 (en) 2018-05-04 2021-03-09 Raytheon Technologies Corporation System and method for robotic inspection
US10685433B2 (en) * 2018-05-04 2020-06-16 Raytheon Technologies Corporation Nondestructive coating imperfection detection system and method therefor
US10958843B2 (en) 2018-05-04 2021-03-23 Raytheon Technologies Corporation Multi-camera system for simultaneous registration and zoomed imagery
US20210335012A1 (en) * 2020-04-28 2021-10-28 MEGA AI Lab Co., Ltd. Temperature reference systems and methods thereof for thermal imaging
US11636591B2 (en) 2020-06-18 2023-04-25 Alibaba Group Holding Limited Surface imaging using high incident angle of light rays

Family Cites Families (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3909521A (en) * 1972-03-06 1975-09-30 Spectrotherm Corp Infrared imaging system
US3862423A (en) * 1973-06-11 1975-01-21 Albert F Kutas Scanning thermography
US4170987A (en) * 1977-11-28 1979-10-16 California Institute Of Technology Medical diagnosis system and method with multispectral imaging
DE2835602C2 (en) * 1978-08-14 1980-09-04 Jochen Dr.-Ing. 8035 Gauting Edrich Method and device for non-contact subcutaneous body temperature distribution determination
FI58719C (en) * 1979-06-01 1981-04-10 Instrumentarium Oy DIAGNOSTISERINGSANORDNING FOER BROESTKANCER
US4515165A (en) * 1980-02-04 1985-05-07 Energy Conversion Devices, Inc. Apparatus and method for detecting tumors
US4428382A (en) * 1980-09-03 1984-01-31 Gst Laboratories, Inc. Method for identifying the presence of abnormal tissue
US4548212A (en) * 1982-10-29 1985-10-22 Leung Frank K Apparatus for thermographic examinations
US5056525A (en) * 1984-03-21 1991-10-15 Hafezi Fred F Process for diagnosing spinal conditions
IT1206462B (en) * 1984-08-07 1989-04-27 Anic Spa MULTI-WAVE LENGTH PULSED LIGHT PHOTOMETER FOR NON-INVASIVE MONITORING.
US5148022A (en) * 1989-02-15 1992-09-15 Hitachi, Ltd. Method for optically inspecting human body and apparatus for the same
JPH081949B2 (en) * 1989-05-30 1996-01-10 三菱電機株式会社 Infrared imaging device and manufacturing method thereof
US5213105A (en) * 1990-12-04 1993-05-25 Research Corporation Technologies, Inc. Frequency domain optical imaging using diffusion of intensity modulated radiation
DE4141253A1 (en) * 1991-12-14 1993-06-17 Chronos Richardson Gmbh DEVICE FOR SPREADING AND PUTTING UP BAGS
JPH0767151B2 (en) * 1993-02-25 1995-07-19 日本電気株式会社 Infrared imaging device
US5497770A (en) * 1994-01-14 1996-03-12 The Regents Of The University Of California Tissue viability monitor
US5474085A (en) * 1994-02-24 1995-12-12 University Of Prince Edward Island Remote thermographic sensing of livestock
US5692511A (en) * 1995-06-07 1997-12-02 Grable; Richard J. Diagnostic tomographic laser imaging apparatus

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1196080A1 (en) * 1999-06-21 2002-04-17 Victor John Yannacone, Jr. Method and apparatus for high resolution dynamic digital infrared imaging
EP1196080A4 (en) * 1999-06-21 2008-11-05 Victor John Yannacone Jr Method and apparatus for high resolution dynamic digital infrared imaging
US8233968B1 (en) 1999-06-21 2012-07-31 Victor John Yannacone, Jr. Method and apparatus for high resolution dynamic digital infrared imaging
WO2001080729A1 (en) * 2000-04-25 2001-11-01 Gary Rogers Malignancy detection apparatus
GB2367615A (en) * 2000-04-26 2002-04-10 Gary Rogers Malignancy detection apparatus
GB2367615B (en) * 2000-04-26 2004-08-11 Gary Rogers Malignancy detection apparatus
WO2005084528A1 (en) * 2004-03-10 2005-09-15 Zhongqi Liu A method for evaluating the effect of modulatory means for physiologic/psycologic conditions
CN103315716A (en) * 2013-06-27 2013-09-25 葛晓松 Infrared three-dimensional thermal imaging scanning system
CN103315716B (en) * 2013-06-27 2014-10-08 葛晓松 Infrared three-dimensional thermal imaging scanning system

Also Published As

Publication number Publication date
AU8642898A (en) 1998-11-11
WO1998046976A3 (en) 1999-02-11
US6023637A (en) 2000-02-08

Similar Documents

Publication Publication Date Title
WO1998046976A2 (en) Method and apparatus for thermal radiation imaging
US7996066B2 (en) Topographic optical infrared tomography system for biophysical imaging with infrared diagnostic exploratory algorithm sequencing (IDEAS) scripting language
AU737901B2 (en) Detection of cancerous lesions by their effect on the spatial homogeneity of skin temperature
CN1123320C (en) Microwave tomographic spectroscopy system and method
US5810010A (en) Detection of cancerous lesions by their effect on the periodic modulation of perfusion in the surrounding tissues
Zhou et al. Handheld photoacoustic probe to detect both melanoma depth and volume at high speed in vivo
US7740585B2 (en) Quantitative optoacoustic tomography with enhanced contrast
TW200944180A (en) Apparatus for skin imaging, system for skin analysis
CN103153174A (en) Property determination apparatus for determining a property of an object
Chen et al. On the feasibility of obtaining three-dimensional information from thermographic measurements
Rajmanova et al. Application and technology of thermal imagine camera in medicine
EP1620003B1 (en) System and method for identifying and classifying dynamic thermodynamic processes in mammals and discriminating between and among such processes
Stücker et al. Two‐dimensional blood flow determinations in allergic reactions using laser Doppler scanning
US20120078114A1 (en) System and method for real-time perfusion imaging
Leroy et al. Microwave radiometry and thermography
US7408156B2 (en) System and method for identifying and classifying dynamic thermodynamic processes in mammals and discriminating between and among such processes
JP4652643B2 (en) Method and apparatus for high resolution dynamic digital infrared imaging
Wang et al. Tactile mapping of palpable abnormalities for breast cancer diagnosis
Arunachalam et al. A computational investigation of microwave breast imaging using deformable reflector
Qi et al. Thermal infrared imaging in early breast cancer detection
Ruiz-Veloz et al. Image reconstruction algorithm for laser-induced ultrasonic imaging: The single sensor scanning synthetic aperture focusing technique
Ivanescu et al. Vision system for human body infrared thermography
Edrich et al. Millimeter wave thermograph as subcutaneous indicator of joint inflammation
Brancaccio et al. Preliminary results of a new approach for three-dimensional reconstruction of Dynamic AngioThermography (DATG) images based on the inversion of heat equation
Knight The use of EIT techniques to measure interface pressure.

Legal Events

Date Code Title Description
AK Designated states

Kind code of ref document: A2

Designated state(s): AL AM AT AU AZ BA BB BG BR BY CA CH CN CU CZ DE DK EE ES FI GB GE GH GM GW HU ID IL IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MD MG MK MN MW MX NO NZ PL PT RO RU SD SE SG SI SK SL TJ TM TR TT UA UG UZ VN YU ZW

AL Designated countries for regional patents

Kind code of ref document: A2

Designated state(s): GH GM KE LS MW SD SZ UG ZW AM AZ BY KG KZ MD RU TJ TM AT BE CH DE DK ES FI FR GB GR IE IT LU MC NL PT SE BF BJ CF CG CI CM GA GN ML MR NE SN TD TG

DFPE Request for preliminary examination filed prior to expiration of 19th month from priority date (pct application filed before 20040101)
AK Designated states

Kind code of ref document: A3

Designated state(s): AL AM AT AU AZ BA BB BG BR BY CA CH CN CU CZ DE DK EE ES FI GB GE GH GM GW HU ID IL IS JP KE KG KP KR KZ LC LK LR LS LT LU LV MD MG MK MN MW MX NO NZ PL PT RO RU SD SE SG SI SK SL TJ TM TR TT UA UG UZ VN YU ZW

AL Designated countries for regional patents

Kind code of ref document: A3

Designated state(s): GH GM KE LS MW SD SZ UG ZW AM AZ BY KG KZ MD RU TJ TM AT BE CH DE DK ES FI FR GB GR IE IT LU MC NL PT SE BF BJ CF CG CI CM GA GN ML MR NE SN TD TG

121 Ep: the epo has been informed by wipo that ep was designated in this application
REG Reference to national code

Ref country code: DE

Ref legal event code: 8642

NENP Non-entry into the national phase

Ref country code: JP

Ref document number: 1998543673

Format of ref document f/p: F

122 Ep: pct application non-entry in european phase
NENP Non-entry into the national phase

Ref country code: CA