US20060056670A1 - Systems, methods and apparatus for image quality analysis - Google Patents
Systems, methods and apparatus for image quality analysis Download PDFInfo
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- US20060056670A1 US20060056670A1 US10/941,314 US94131404A US2006056670A1 US 20060056670 A1 US20060056670 A1 US 20060056670A1 US 94131404 A US94131404 A US 94131404A US 2006056670 A1 US2006056670 A1 US 2006056670A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
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- Y—GENERAL 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
- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
- Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y10S128/00—Surgery
- Y10S128/92—Computer assisted medical diagnostics
- Y10S128/922—Computer assisted medical diagnostics including image analysis
Abstract
Systems, methods and apparatus are provided through which in some embodiments an image acquisition station transmits images that have been identified as having inadequate diagnostic quality to a computer system of an image quality consultant. The image quality consultant may develop recommendations on how to improve the quality, and the recommendations are communicated to appropriate personnel.
Description
- This invention relates generally to image quality review, and more particularly to a system for supporting medical image quality consultation.
- Image quality (IQ) is an important aspect of medical images. Without appropriate and satisfactory IQ, a radiologist cannot perform a reliable diagnosis using medical images. Unfortunately, some medical images may lack adequate diagnostic IQ. Causes of inadequate IQ include less than optimal acquisition parameters, patient positioning and/or image processing parameters. When such causes interfere with IQ, the radiologist may retake the images or try to reprocess the medical image using different image processing parameters until satisfactory IQ is attained.
- Radiologists often consult with medical imaging engineers or IQ consultants in the analysis of medical IQ. In one such scenario of IQ consultation, a radiologist at a medical imaging facility contacts the manufacturer of the medical imaging device about inadequate IQ of one or more medical images generated by the medical imaging device. In response, the manufacturer dispatches a field engineer to the site of the medical imaging facility. The field engineer copies the medical images to a compact disk read only memory (CDROM) and sends or brings the CDROM to an IQ expert at another location, usually at a location of the manufacturer. The IQ expert examines the images on the CDROM, and communicates suggestions on changes in the acquisition parameters, patient positioning or image processing parameters.
- In another consultation scenario, the radiologist at the medical imaging facility contacts the manufacturer of the medical imaging device about inadequate IQ of one or more medical images generated by the medical imaging device. In response, the manufacturer dispatches the field engineer to the site of the medical imaging facility. The field engineer contacts the manufacturer and possibly a customer support engineer at the manufacturer. In response the IQ expert and/or the customer support engineer at the manufacturer remotely accesses the images stored in an image acquisition workstation of the medical imaging device through a computer communicating over communication lines to the medical facility. The remote access is commonly referred to as insite connectivity. Thereafter, the IQ expert examines the images remotely, and communicates suggestions on changes in the acquisition parameters, patient positioning and/or image processing parameters to the medical facility.
- Unfortunately, the above process of medical IQ consultation is costly and slow. The above process requires on-site visits by field engineers that cost at least hundreds of dollars in travel and personnel cost to the manufacturer, and practically speaking, at least a few hours will lapse before the medical facility will receive suggestions on changes in the acquisition parameters, patient positioning and/or image processing parameters. Often, this time delay requires a return trip by the patient to the medical facility, which further delays to acquisition of medical images with diagnostic quality.
- For the reasons stated above, and for other reasons stated below which will become apparent to those skilled in the art upon reading and understanding the present specification, there is a need in the art for a system of IQ consultation that reduces the cost of the consultation to the manufacturer of the medical imaging device. There is also a need for a system of IQ consultation that reduces the amount of time required to communicate suggestions on changes in the acquisition parameters, patient positioning and/or image processing parameters, thus increasing the opportunity to finalize or complete the imaging before the patient leaves the medical facility, which in turn decreases the amount of time to obtain a image of medical diagnostic quality.
- The above-mentioned shortcomings, disadvantages and problems are addressed herein, which will be understood by reading and studying the following specification.
- Systems, methods and apparatus are provided through which in some embodiments an image acquisition station transmits images that have been identified as having inadequate diagnostic quality to a computer system of an image quality consultant. The image quality consultant may develop recommendations on how to improve the quality, and the recommendations are communicated to appropriate personnel.
- In one aspect, a system to support image quality consultation includes an imaging device that is operable to generate an electronic image of a subject, a first image-review system that is operable to receive the electronic image from the imaging device, an anonymizer of the electronic image that is operable to receive the electronic image from the first image-review system, and operable to provide access to the anonymized electronic image, and a second image-review system that is operable to receive the anonymized electronic image from the imaging device and present the anonymized electronic image.
- In another aspect, the anonymized electronic image does not have the following patient information, name, birthdate, social security number, and patient number.
- In yet another aspect, an online customer support system includes a receiver of an anonymized electronic image, and a transmitter of at least one recommendation on how to improve the quality of the anonymized electronic image.
- In still another aspect, a human, such as a radiologist, selects an image from a graphical user interface of an image acquisition station, the image having been determined by the human as having non-diagnostic image quality, and the human selects a graphical user interface control indicating an instruction to transmit the image to an image quality consultant.
- In a further aspect, a human image quality consultant receives notice of receipt by a image-review system of an anonymized electronic image for image quality consultation, the consultant analyzes the anonymized image for recommendations on how to improve the quality of the anonymized electronic image, and communicates the recommendations to an image technician.
- Systems, clients, servers, methods, and computer-readable media of varying scope are described herein. In addition to the aspects and advantages described in this summary, further aspects and advantages will become apparent by reference to the drawings and by reading the detailed description that follows.
- By providing electronic access to diagnostic images that have non-diagnostic image qualithy by the image quality consultant expert in the automated manner of system with fewer intervening actions than conventional systems, such as dispatching a field engineer, valuable advice is provided to the medical image technician on how to improve the quality of those diagnostic images in more timely manner. The image quality consultant expert, upon reviewing the anonymized images can assess the situation and provide a set of recommendations/solutions to the medical image technician in a more timely manner. Hence, the medical facility who can attain diagnostic image quality of medical images by following the recommendations in a more timely manner.
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FIG. 1 is a diagram illustrating a system-level overview of an embodiment; -
FIG. 2 is a flowchart of a method performed by an acquisition workstation according to an embodiment; -
FIG. 3 is a flowchart of a method to support image quality consultation by a manufacturer of a medical imaging device; -
FIG. 4 is a block diagram of the hardware and operating environment in which different embodiments can be practiced; -
FIG. 5 is a block diagram of a particular implementation of an acquisition workstation; and -
FIG. 6 is a diagram of a graphical user interface in which different embodiments can be practiced. - In the following detailed description, reference is made to the accompanying drawings that form a part hereof, and in which is shown by way of illustration specific embodiments which may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the embodiments, and it is to be understood that other embodiments may be utilized and that logical, mechanical, electrical and other changes may be made without departing from the scope of the embodiments. The following detailed description is, therefore, not to be taken in a limiting sense.
- The detailed description is divided into five sections. In the first section, a system level overview is described. In the second section, methods of embodiments are described. In the third section, the hardware and the operating environment in conjunction with which embodiments may be practiced are described. In the fourth section, particular implementations are described. Finally, in the fifth section, a conclusion of the detailed description is provided.
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FIG. 1 is a block diagram that provides a system level overview of a system to support image quality consultation. System solves the need in the art for reduced time and cost in medical IQ consultation. - In
system 100, some embodiments of amedical facility 102 include animaging device 104 that is operable to generate anelectronic image 106 of a subject (not shown). Examples of imaging devices include magnetic resonance (MR) imaging devices, computed tomography (CT) devices, ultrasound imaging devices, and X-ray devices. - Some embodiments of
system 100 include a first image-review system 108 in themedical facility 102 that is operable to receive theelectronic image 106 from theimaging device 104. The first image-review system 108 displays theelectronic image 106. Amedical image technician 110 reviews theelectronic image 106 determines that the consultation of an image quality consultant would be helpful in review of theelectronic image 106. In some embodiments, the first image-review system 108 is an image acquisition workstation. In some embodiments, themedical image technician 110 is a radiologist or another worker on the medical staff of themedical facility 102. - Some embodiments of
system 100 also include ananonymizer 112 of the electronic image. Theanonymizer 112 is operable to receive theelectronic image 106 from the first image-review system 108, and operable to provide access to the anonymizedelectronic image 114. The anonymizer creates a version of theelectronic image 106 that limited to including anonymous information on the patient subject of theelectronic image 106. The anonymizedelectronic image 114 excludes information that could identity the patient subject; that information includes the name, social security numbers, address and patient number of the patient subject. The anonymization of theelectronic image 106 protects the privacy of the patient from any misuse, such as identity theft, of confidential information. - In some embodiments of
system 100, in anengineering facility 116, the anonymizedelectronic image 114 is received by a second image-review system 118 and the anonymizedelectronic image 114 is displayed by the second image-review system 118 for review and analysis by animage quality consultant 120. The anonymization of theelectronic image 106 protects theengineering facility 116 from any misuse, such as identity theft, of the confidential information. - The
image quality consultant 120 communicates solutions, recommendations and/oradvice 122 to themedical image technician 110 on how to improve the quality of the anonymizedelectronic image 114 or how to image the subject again under different circumstances of optimal acquisition parameters, patient positioning and/or image processing parameters that are reasonably calculated to yield an image with improved quality in comparison to the anonymizedelectronic image 114. - By providing electronic access to diagnostic images that have non-diagnostic IQ by the
image quality consultant 120 expert in the automated manner ofsystem 100 with fewer intervening actions than conventional systems, such as dispatching a field engineer, valuable advice is provided to themedical image technician 110 on how to improve the quality of thosediagnostic image 114 in more timely manner. Theimage quality consultant 120 expert, upon reviewing the anonymized images can assess the situation and provide a set of recommendations/solutions 122 to themedical image technician 110 in a more timely manner. Hence, themedical facility 102 can attain diagnostic IQ of medical images by following therecommendations 122 in a more timely manner. - Thus,
system 100 reduces the cost of the consultation to the manufacturer of themedical imaging device 104 by reducing the need to dispatch a field engineer to themedical facility 102.System 100 also reduces the amount of time required to communicate suggestions on changes in the acquisition parameters, patient positioning inimaging device 104 and/or image processing parameters, which in turn increases the opportunity to finalize or complete the imaging before the patient leaves themedical facility 102, which in turn decreases the amount of time to obtain an image of medical diagnostic quality. - The system level overview of the operation of an embodiment has been described in this section of the detailed description. Some embodiments operate in a multi-processing, multi-threaded operating environment on a computer, such as
computer 402 inFIG. 4 . - While the
system 100 is not limited to any particularmedical facility 102,imaging device 104,electronic image 106, image-review system 108,medical image technician 110,anonymizer 112, anonymizedelectronic image 114,engineering facility 116, image-review system 118,image quality consultant 120 and solutions, recommendations and/oradvice 122, for sake of clarity simplifiedmedical facility 102,imaging device 104,electronic image 106, image-review system 108,medical image technician 110,anonymizer 112, anonymizedelectronic image 114,engineering facility 116, image-review system 118,image quality consultant 120 and solutions, recommendations and/oradvice 122 have been described. - In the previous section, a system level overview of the operation of an embodiment was described. In this section, the particular methods performed by the server and the clients of such an embodiment are described by reference to a series of flowcharts. Describing the methods by reference to a flowchart enables one skilled in the art to develop such programs, firmware, or hardware, including such instructions to carry out the methods on the processor of the clients and servers executing the instructions from computer-readable media. Similarly, the methods performed by the server computer programs, firmware, or hardware are also composed of computer-executable instructions. Methods 200-300 are performed by computer instructions executing on, or performed by firmware or hardware that is a part of, a computer, such as
computer 402 inFIG. 4 . -
FIG. 2 is a flowchart of amethod 200 performed by an acquisition workstation according to an embodiment.Method 200 solves the need in art for reduced time and cost in medical IQ consultation. -
Method 200 includes receiving 202 an identification of one ormore images 106 to be accessed by an engineering image quality (IQ) expert, such asIQ expert 120 inFIG. 1 . In some embodiments, one or more of the identified images includes annotations in images or associated with the images that indicate particular problems with the IQ. The annotations are typically added by themedical image technician 110 as an aid to the analysis of the IQ problems by theimage quality consultant 120. - In some embodiments, the identification is prompted by a user of an image presentation program in which the user selects images in any one of a number of conventional graphical user interface techniques, such as by clicking a radio button or a button associated with an image or selecting a option from a pull-down menu that indicates selection of an image.
- In some embodiments,
method 200 includes receiving (not shown) an affirmation of transmission of the one or more selected images to an image quality consultant. In some embodiments, the affirmation is prompted by a user of an image presentation program in which the user selects images in any one of a number of conventional graphical user interface techniques, such as by clicking a radio button associated with an image or selecting a option from a pull-down menu that indicates affirmation of transmission of the one or more selected image to an image quality consultant. - Thereafter, the one or more identified images are anonymized 204 in some embodiments. In some embodiments, anonymizing 204 includes removing or deleting confidential personal information of the patient subject of the image(s) in order to protect confidentiality of the patient subject. In some embodiments, anonymizing 204 is performed by
anonymizer 112 inFIG. 1 . - Thereafter,
method 200 includes providing 206 access of the anonymized image(s), such asimage 114, to theIQ expert 120. In some embodiments, access is provided by sending, transmitting and/or pushing the anonymized image(s) to a computer system, such as image-review system 118 inFIG. 1 , to which theIQ expert 120 has access. In these embodiments, an electronic communication session is initiated with an Engineering IQ expert. Such communication is generic and can be dependent on the medical facility and/or the Engineering department policies. One example for such communication initiation can be handled via an On Line Center support that will in this case provide a communication bridge between the site and the engineering department. - Either of the
electronic image 106 or theanonymized image 114 may be encoded in some embodiment in accordance with a conventional graphic encoding scheme such as JPEG, GIF, TIFF, BMP, PCX, TGA, PNG, SVG, ANALYZE (published by the Mayo Clinic of Rochester, Minn.), MFNC, AFNI, MPEG and Quicktime. In some embodiments, theelectronic image 106 is encapsulated in an image annotation object (not shown) that conforms to an image annotation standard, such as DICOM, the Papyrus standard published by the the Numerical Unit of Imagery in France (based on DICOM), General Electric MRI/LX, General Electric MRI/Genesis 5, General Electric MRI/Signa, General Electric Scanditronix (4096 PET format), and Interfile published by the Society of Nuclear Medicine in Reston, Va. - DICOM (Digital Imaging and Communications in Medicine) standard 3.0 defines twenty-four data elements in object-oriented terms. Each DICOM object has a unique tag, name, characteristics and semantics. DICOM requires conformance statements that identify de minimus data requirements. DICOM conforms to the International Organization for Standardization (ISO) reference model for network communications. The DICOM standard was developed jointly by the National Equipment Manufacturers Association (NEMA) in Rosslyn, Va. and by the American College of Radiology (ACR). DICOM is published by NEMA. The DICOM standard is also known as the ACR/NEMA standard.
- In some embodiments,
method 200 further includes receiving 208 IQ recommendations, such asrecommendation 122 inFIG. 1 . Receiving 208 therecommendations 122 can be performed by a variety of manners, such as theacquisition workstation 108 receiving therecommendations 122 in an electronic format through an electronic communication channel (e.g. email through the Internet or an online customer support system) as shown inFIG. 1 . In another manner of receiving 208, amedical image technician 110 at themedical facility 102 receives therecommendations 122 via telephone or facsimile transmission from theIQ expert 120 or a field engineer. -
FIG. 3 is a flowchart of amethod 300 to support image quality consultation by a manufacturer of a medical imaging device, performed by an image-review system according to an embodiment.Method 300 solves the need in art for reduced time and cost in medical IQ consultation. One example of an image-review system is image-review system 118 inFIG. 1 . - In some embodiments,
method 200 includes receiving 302 access to at least one anonymized image. In some examples, theanonymized image 114 inFIG. 1 that is generated by theanonymizer 112 inaction 204 ofFIG. 2 . The anonymized image contains no information that could be used to ascertain the identity of the patient in the image. In some embodiments when access is received or the anonymized image is received, an associated IQ expert is notified immediately. - In some embodiments,
method 200 also includes receiving 304 recommendations of image quality (IQ) consultation of the anonymized image. The recommendations are typically created by animage quality consultant 120 inFIG. 1 . - In some embodiments,
method 300 thereafter includes transmitting 306 the recommendations. The recommendations are transmitted in the same variety of manners as inaction 208 inFIG. 2 , such as the image-review system transmitting the recommendations to a acquisition workstation in an electronic format through an electronic communication channel (e.g. email through the Internet or an online customer support system) as shown inFIG. 1 , and/or theIQ consultant 120 communicating the recommendation to themedical image technician 110 at themedical facility 102 via telephone or facsimile transmission from theIQ expert 120 or a field engineer. - In some embodiments, methods 200-300 are implemented as a computer data signal embodied in a carrier wave, that represents a sequence of instructions which, when executed by a processor, such as
processor 404 inFIG. 4 , cause the processor to perform the respective method. In other embodiments, methods 200-300 are implemented as a computer-accessible medium having executable instructions capable of directing a processor, such asprocessor 404 inFIG. 4 , to perform the respective method. In varying embodiments, the medium is a magnetic medium, an electronic medium, or an optical medium. -
FIG. 4 is a block diagram of the hardware andoperating environment 400 in which different embodiments can be practiced. The description ofFIG. 4 provides an overview of computer hardware and a suitable computing environment in conjunction with which some embodiments can be implemented. Embodiments are described in terms of a computer executing computer-executable instructions. However, some embodiments can be implemented entirely in computer hardware in which the computer-executable instructions are implemented in read-only memory. Some embodiments can also be implemented in client/server computing environments where remote devices that perform tasks are linked through a communications network. Program modules can be located in both local and remote memory storage devices in a distributed computing environment. -
Computer 402 includes aprocessor 404, commercially available from Intel, Motorola, Cyrix and others.Computer 402 also includes random-access memory (RAM) 406, read-only memory (ROM) 408, and one or moremass storage devices 410, and asystem bus 412, that operatively couples various system components to theprocessing unit 404. Thememory Mass storage devices 410 are more specifically types of nonvolatile computer-accessible media and can include one or more hard disk drives, floppy disk drives, optical disk drives, and tape cartridge drives. Theprocessor 404 executes computer programs stored on the computer-accessible media. -
Computer 402 can be communicatively connected to theInternet 414 via acommunication device 416.Internet 414 connectivity is well known within the art. In one embodiment, acommunication device 416 is a modem that responds to communication drivers to connect to the Internet via what is known in the art as a “dial-up connection.” In another embodiment, acommunication device 416 is an Ethernet® or similar hardware network card connected to a local-area network (LAN) that itself is connected to the Internet via what is known in the art as a “direct connection” (e.g., Ti line, etc.). - A user enters commands and information into the
computer 402 through input devices such as akeyboard 418 or apointing device 420. Thekeyboard 418 permits entry of textual information intocomputer 402, as known within the art, and embodiments are not limited to any particular type of keyboard.Pointing device 420 permits the control of the screen pointer provided by a graphical user interface (GUI) of operating systems such as versions of Microsoft Windows®. Embodiments are not limited to anyparticular pointing device 420. Such pointing devices include mice, touch pads, trackballs, remote controls and point sticks. Other input devices (not shown) can include a microphone, joystick, game pad, satellite dish, scanner, or the like. - In some embodiments,
computer 402 is operatively coupled to adisplay device 422.Display device 422 is connected to thesystem bus 412.Display device 422 permits the display of information, including computer, video and other information, for viewing by a user of the computer. Embodiments are not limited to anyparticular display device 422. Such display devices include cathode ray tube (CRT) displays (monitors), as well as flat panel displays such as liquid crystal displays (LCD's). In addition to a monitor, computers typically include other peripheral input/output devices such as printers (not shown).Speakers Speakers system bus 412. -
Computer 402 also includes an operating system (not shown) that is stored on the computer-accessible media RAM 406,ROM 408, andmass storage device 410, and is and executed by theprocessor 404. Examples of operating systems include Microsoft Windows®, Apple MacOS®, Linux®, UNIX®. Examples are not limited to any particular operating system, however, and the construction and use of such operating systems are well known within the art. - Embodiments of
computer 402 are not limited to any type ofcomputer 402. In varying embodiments,computer 402 comprises a PC-compatible computer, a MacOS®-compatible computer, a Linux®-compatible computer, or a UNIX®compatible computer. The construction and operation of such computers are well known within the art. -
Computer 402 can be operated using at least one operating system to provide a graphical user interface (GUI) including a user-controllable pointer.Computer 402 can have at least one web browser application program executing within at least one operating system, to permit users ofcomputer 402 to access an intranet, extranet or Internet world-wide-web pages as addressed by Universal Resource Locator (URL) addresses. Examples of browser application programs include Netscape Navigator® and Microsoft Internet Explorer®. - The
computer 402 can operate in a networked environment using logical connections to one or more remote computers, such asremote computer 428. These logical connections are achieved by a communication device coupled to, or a part of, thecomputer 402. Embodiments are not limited to a particular type of communications device. Theremote computer 428 can be another computer, a server, a router, a network PC, a client, a peer device or other common network node. The logical connections depicted inFIG. 4 include a local-area network (LAN) 430 and a wide-area network (WAN) 432. Such networking environments are commonplace in offices, enterprise-wide computer networks, intranets, extranets and the Internet. - When used in a LAN-networking environment, the
computer 402 andremote computer 428 are connected to thelocal network 430 through network interfaces oradapters 434, which is one type ofcommunications device 416.Remote computer 428 also includes anetwork device 436. When used in a conventional WAN-networking environment, thecomputer 402 andremote computer 428 communicate with aWAN 432 through modems (not shown). The modem, which can be internal or external, is connected to thesystem bus 412. In a networked environment, program modules depicted relative to thecomputer 402, or portions thereof, can be stored in theremote computer 428. -
Computer 402 also includespower supply 438. Each power supply can be a battery. - Referring to
FIG. 5 , a particular implementation of anacquisition workstation 500 is described in conjunction with the system overview inFIG. 1 and the methods described in conjunction withFIGS. 2 and 3 . -
Apparatus 500 includes anidentifier 502 of one or more images, such asimage 106 inFIG. 1 , to be accessed by an engineering image quality (IQ) expert, such asIQ expert 120 inFIG. 1 . In some embodiments, the identification is prompted by a user of an image presentation program (not shown) in which the user selects images in any one of a number of conventional graphical user interface means displayed ondisplay 422, such as by clicking a radio button associated with an image or selecting a option from a pull-down menu that indicates selection of an image. -
Apparatus 500 also includes ananonymizer 504, such asanonymizer 112 inFIG. 1 . Theanonymizer 504 is operable to remove confidential patient information from the electronic image identified byidentifier 502. In some embodiments, the anonymizer accesses the identified image in reference to the identification generated by the identifier. In some embodiments, the anonymizer receives the identified image from theidentifier 502. -
Apparatus 500 components of theidentifier 502 and theanonymizer 504 can be embodied as computer hardware circuitry or as a computer-readable program, or a combination of both. In another embodiment, theidentifier 502 and/or theanonymizer 504 are implemented in an application service provider (ASP) system. - More specifically, in the computer-readable program embodiment, the programs can be structured in an object-orientation using an object-oriented language such as Java, Smalltalk or C++, and the programs can be structured in a procedural-orientation using a procedural language such as COBOL or C. The software components communicate in any of a number of means that are well-known to those skilled in the art, such as application program interfaces (API) or interprocess communication techniques such as remote procedure call (RPC), common object request broker architecture (CORBA), Component Object Model (COM), Distributed component Object Model (DCOM), Distributed System Object Model (DSOM) and Remote Method Invocation (RMI). The components execute on as few as one computer as in
computer 402 inFIG. 4 , or on at least as many computers as there are components. -
FIG. 6 is a diagram of a graphical user interface (GUI) 600 in which different embodiments can be practiced. -
GUI 600 displaysmedical images GUI 600 includes a graphical region associated with the image that is operable to indicates that the associated image is selected. Examples of the graphical regions include a radio button, a button and an item in a pull-down menu. InGUI 600,radio buttons images radio buttons images -
GUI 600 includes agraphical region 614 that is operable to indicate an affirmation of transmission of the at least one selected image to an image quality consultant. In the embodiment shown inGUI 600, thegraphical region 614 is a button. - An image quality analysis system has been described. In some embodiments, the method/workflow is entirely automated. In fact, all the radiologist needs to do is to select the images to be sent to the IQ expert and launches the specific application that will anonymize the images and send them automatically to the IQ expert. The IQ expert assigned to this medical facility will be immediately notified that the IQ expert has a case of IQ to assess and investigate in order to respond to the radiologist and give him the recommended solution.
- The systems, methods and apparatus described herein provide the following advantages: Avoids retake of medical images when image quality can be recovered or improved using image-processing techniques, provides faster response from engineering to address image quality issues encountered on sites, enhances IQ engineering expertise: When exposed to diverse issues regarding image quality, the IQ expert can establish some common pattern of problems and their solutions. A database of encountered IQ issues is an excellent source of information for engineering to address and resolve in future programs and new product introductions.
- Although specific embodiments have been illustrated and described herein, it will be appreciated by those of ordinary skill in the art that any arrangement which is calculated to achieve the same purpose may be substituted for the specific embodiments shown. This application is intended to cover any adaptations or variations. For example, although described in procedural terms, one of ordinary skill in the art will appreciate that implementations can be made in an object-oriented design environment or any other design environment that provides the required relationships.
- In particular, one of skill in the art will readily appreciate that the names of the methods and apparatus are not intended to limit embodiments. Furthermore, additional methods and apparatus can be added to the components, functions can be rearranged among the components, and new components to correspond to future enhancements and physical devices used in embodiments can be introduced without departing from the scope of embodiments. One of skill in the art will readily recognize that embodiments are applicable to future communication devices, different file systems, and new data types.
- The terminology used in this application is meant to include all object-oriented, database and communication environments and alternate technologies which provide the same functionality as described herein.
Claims (51)
1. A system to support image quality consultation, the system comprising:
an imaging device operable to generate an electronic image of a subject;
a first image-review system operable to receive the electronic image from the imaging device;
an anonymizer of the electronic image, operable to receive the electronic image from the first image-review system, and operable to provide access to the anonymized electronic image; and
a second image-review system operable to receive the anonymized electronic image from the imaging device and present the anonymized electronic image.
2. The system of claim 1 , wherein the imaging device further comprises:
a magnetic resonance imaging device.
3. The system of claim 1 , wherein the imaging device further comprises:
a computed tomography imaging device.
4. The system of claim 1 , wherein the imaging device further comprises:
an ultrasound imaging device.
5. The system of claim 1 , wherein the imaging device further comprises:
an X-ray device.
6. The system of claim 1 , wherein the first image-review system further comprises:
an acquisition workstation.
7. The system of claim 1 , wherein the second image-review system further comprises:
a communicator of at least one recommendation on how to improve the quality of the electronic image, the communicator operably coupled to the first image-review system.
8. The system of claim 7 , wherein the at least one recommendation further comprises:
at least one recommendation on how to image the subject again under different circumstances of optimal acquisition parameters, patient positioning and/or image processing parameters that are reasonably calculated to yield an image with improved quality in comparison to the electronic image.
9. The system of claim 1 , wherein the anonymized electronic image does not have the following patient information; name, birthdate, social security number, and patient number.
10. A system to support image quality consultation, the system comprising:
an X-ray imaging device operable to generate an electronic image of a subject; and
a first image-review system comprising:
a processor operable to receive the electronic image from the X-ray imaging device, operable to anonymize the electronic image, operable to transmit to the anonymized electronic image and operable to receive a recommendation on how to improve the quality of the electronic image.
11. The system of claim 10 , wherein the anonymized electronic image does not have the following patient information; name, birthdate, social security number, and patient number.
12. An image acquisition workstation comprising:
a receiver of a plurality of electronic images from an imaging device;
an identifier of an electronic image of the plurality of electronic images;
an anonymizer of the electronic image, operable to remove confidential subject information from the identified electronic image; and
a transmitter of the anonymized electronic image.
13. The image acquisition workstation of claim 12 , wherein the image acquisition workstation further comprises:
a receiver of at least one recommendation on how to improve the quality of the anonymized electronic image.
14. The image acquisition station of claim 12 , wherein the anonymized electronic image does not have the following patient information; name, birthdate, social security number, and patient number.
15. An image acquisition workstation comprising:
a receiver of an a electronic image from an imaging device;
a storage device to store the electronic image;
a processor coupled to the storage device, comprising:
an identifier of the electronic image, operable to identify the electronic image for image quality consultation;
an anonymizer of the identified electronic image, operable to remove confidential subject information from the identified electronic image; and
a transmitter of the anonymized electronic image.
16. The image acquisition workstation of claim 15 , wherein the image acquisition workstation further comprises:
a receiver from a computer system associated with an image consultant, operable to receive at least one recommendation on how to improve the quality of the anonymized electronic image.
17. The image acquisition station of claim 15 , wherein the anonymized electronic image does not have the following patient information; name, birthdate, social security number, and patient number.
18. An online customer support system comprising:
a receiver of an anonymized electronic image; and
a transmitter of at least one recommendation on how to improve the quality of the anonymized electronic image.
19. The online customer support system of claim 18 , wherein the receiver further comprises:
a component operable to receive the anonymized electronic image from the Internet.
20. The online customer support system of claim 18 , wherein the transmitter further comprises:
a component operable to transmit the at least one recommendation through the Internet.
21. The online customer support system of claim 18 , wherein the anonymized electronic image does not have the following patient information; name, birthdate, social security number, and patient number.
22. An online customer support system comprising:
a receiver of an anonymized electronic image;
a storage device to store the anonymized electronic image; and
a processor coupled to the storage device, comprising:
a transmitter of at least one recommendation on how to improve the quality of the anonymized electronic image.
23. The online customer support system of claim 22 , wherein the receiver further comprises:
a component operable to receive the anonymized electronic image from the Internet.
24. The online customer support system of claim 22 , wherein the transmitter further comprises:
a component operable to transmit the at least one recommendation through the Internet.
25. The online customer support system of claim 22 , wherein the anonymized electronic image does not have the following patient information; name, birthdate, social security number, and patient number.
26. A computer-accessible medium having executable instructions to support image quality consultation, the executable instructions capable of directing a processor to perform:
receiving an identification of at least one image to be accessed by an engineering image quality expert;
anonymizing the at least one identified image; and
providing access to the at least one anonymized image.
27. The computer-accessible medium of claim 26 , the medium further comprising executable instructions capable of directing a processor to perform:
receiving recommendations of image quality consultation.
28. The computer-accessible medium of claim 26 , wherein identification further comprises:
an identification performed by a medical imaging technician.
29. The computer-accessible medium of claim 26 , wherein providing access to the at least one anonymized image further comprises:
providing access of a medical image consultant to the at least one anonymized image.
30. The computer-accessible medium of claim 26 , wherein providing access to the at least one anonymized image further comprises:
transmitting the at least one anonymized image to the manufacturer of the imaging device that generated the at least one image.
31. The computer-accessible medium of claim 26 , wherein anonymized image does not have the following patient information; name, birthdate, social security number, and patient number.
32. A computer-accessible medium having executable instructions to support medical image quality consultation by a manufacturer of a medical electronic imaging device, the executable instructions capable of directing a processor to perform:
receiving an identification of an electronic image of a patient generated by the medical electronic imaging device to be accessed by an engineering medical image quality expert, the image further comprising confidential patient information;
anonymizing the confidential patient information in the electronic image;
transmitting the anonymized image to the manufacturer of the imaging device that generated the at least one image; and
receiving recommendations of an image quality consultation in reference to the anonymized image.
33. The computer-accessible medium of claim 32 , wherein identification further comprises:
an identification performed by a medical imaging technician.
34. The computer-accessible medium of claim 32 , wherein confidential patient information further comprise; name, birthdate, social security number, and patient number.
35. A method to support image quality consultation, the method comprising:
receiving an identification of an X-ray image to be transmitted to an online customer support system of a manufacturer associated with an engineering image quality expert;
anonymizing the identified X-ray image; and
transmitting the anonymized image to the online customer support system.
36. The method of claim 35 further comprising:
receiving recommendations of image quality consultation in reference to the anonymized image from the online customer support system.
37. A computer-accessible medium having executable instructions to support image quality consultation, the executable instructions capable of directing a processor to perform:
receiving access to at least one anonymized image; wherein the at least one anonymized image does not have the following patient information; name, birthdate, social security number, and patient number.
receiving recommendations of image quality consultation of the anonymized image; and
transmitting the recommendations.
38. The computer-accessible medium of claim 37 , wherein the transmitting is performed through the Internet.
39. The computer-accessible medium of claim 37 , wherein anonymized image does not have the following patient information; name, birthdate, social security number, and patient number.
40. A method performed by a human comprising:
selecting an image from a graphical user interface of an image acquisition station, the image having been determined the a human as having non-diagnostic image quality; and
selecting a graphical user interface control indicating an instruction to transmit the image to an image quality consultant.
41. The method of claim 40 , the method further comprising:
receiving recommendations from the image quality consultant on actions the at least could improve the image quality.
42. The method of claim 40 , wherein the selecting further comprises:
clicking a radio button in the graphical user interface that is associated with the image.
43. A method of image quality consultation performed by a human image quality comprising:
receiving notice of receipt by a image-review system of an anonymized electronic image for image quality consultation;
analyzing the anonymized image for recommendations on how to improve the quality of the anonymized electronic image; and
communicating the recommendations to an image technician, the image technican being associated with a facility that generated the anonymized electronic image.
44. The method of claim 43 , wherein communicating the recommendations further comprises:
transmitting the recommendations in an electronic format through an electronic communication channel, wherein the electronic communication channel is selected from the group consisting of email through the Internet and an online customer support system.
45. The method of claim 43 , wherein communicating the recommendations further comprises:
communicating the recommendations to a image technician at the facility, through a device selected from the group consisting of a telephone and a facsimile device.
46. The method of claim 43 , wherein analyzing the anonymized image for recommendations further comprises:
analyzing the anonymized image for recommendations on how to image the subject of the anonymized electronic image again under different circumstances of optimal acquisition parameters, patient positioning and/or image processing parameters that are reasonably calculated to one of ordinary skill in the art of electronic image analysis to yield an image with improved quality in comparison to the anonymized electronic image.
47. A graphical user interface comprising:
a first graphical region operable to indicate at least one selected image; and
a second graphical region operable to indicate an affirmation of transmission of the at least one selected image to an image quality consultant.
48. The graphical user interface of claim 47 , wherein the first graphical region further comprises:
a radio button.
49. The graphical user interface of claim 47 , wherein the first graphical region further comprises:
an item in a pull-down menu.
50. The graphical user interface of claim 47 , wherein the second graphical region further comprises:
a radio button.
51. The graphical user interface of claim 47 , wherein the second graphical region further comprises:
an item in a pull-down menu.
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Cited By (71)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20070128573A1 (en) * | 2004-02-27 | 2007-06-07 | Align Technology, Inc. | Method and system for providing dynamic orthodontic assessment and treatment profiles |
US7298876B1 (en) * | 2002-11-04 | 2007-11-20 | R2 Technology, Inc. | Method and apparatus for quality assurance and quality control in radiological equipment using automatic analysis tools |
US20090006132A1 (en) * | 2007-06-29 | 2009-01-01 | General Electric Company | Patient-specific electronic medical record and method for making same |
US20090006131A1 (en) * | 2007-06-29 | 2009-01-01 | General Electric Company | Electronic medical record-influenced data acquisition, processing, and display system and method |
US20090030731A1 (en) * | 2006-01-30 | 2009-01-29 | Bruce Reiner | Method and apparatus for generating a patient quality assurance |
US20090172036A1 (en) * | 2007-12-27 | 2009-07-02 | Marx James G | Systems and methods for workflow processing |
US20120116800A1 (en) * | 2004-12-27 | 2012-05-10 | Cerner Innovation, Inc. | Clinical collaboration using an online networking system |
US20120185292A1 (en) * | 2005-01-19 | 2012-07-19 | Nu Design Medical Technologies, Inc. | Medical imaging device quality control system and method |
US20140135953A1 (en) * | 2009-04-24 | 2014-05-15 | Canon Kabushiki Kaisha | Medical imaging apparatus, information processing method, and computer-readable storage medium |
JP2015125515A (en) * | 2013-12-26 | 2015-07-06 | コニカミノルタ株式会社 | Image transmitter and trial system |
US9471574B2 (en) * | 2012-07-24 | 2016-10-18 | Empire Technology Development Llc | Property list customization |
US20170053128A1 (en) * | 2015-08-21 | 2017-02-23 | Samsung Electronics Co., Ltd. | Electronic apparatus and method of transforming content thereof |
US10007679B2 (en) | 2008-08-08 | 2018-06-26 | The Research Foundation For The State University Of New York | Enhanced max margin learning on multimodal data mining in a multimedia database |
US20190138748A1 (en) * | 2017-11-06 | 2019-05-09 | Microsoft Technology Licensing, Llc | Removing personally identifiable data before transmission from a device |
US10390913B2 (en) | 2018-01-26 | 2019-08-27 | Align Technology, Inc. | Diagnostic intraoral scanning |
US10413385B2 (en) | 2004-02-27 | 2019-09-17 | Align Technology, Inc. | Method and system for providing dynamic orthodontic assessment and treatment profiles |
US10421152B2 (en) | 2011-09-21 | 2019-09-24 | Align Technology, Inc. | Laser cutting |
US10470847B2 (en) | 2016-06-17 | 2019-11-12 | Align Technology, Inc. | Intraoral appliances with sensing |
US10504386B2 (en) | 2015-01-27 | 2019-12-10 | Align Technology, Inc. | Training method and system for oral-cavity-imaging-and-modeling equipment |
US10509838B2 (en) | 2016-07-27 | 2019-12-17 | Align Technology, Inc. | Methods and apparatuses for forming a three-dimensional volumetric model of a subject's teeth |
US10517482B2 (en) | 2017-07-27 | 2019-12-31 | Align Technology, Inc. | Optical coherence tomography for orthodontic aligners |
US10524881B2 (en) | 2010-04-30 | 2020-01-07 | Align Technology, Inc. | Patterned dental positioning appliance |
US10537405B2 (en) | 2014-11-13 | 2020-01-21 | Align Technology, Inc. | Dental appliance with cavity for an unerupted or erupting tooth |
US10543064B2 (en) | 2008-05-23 | 2020-01-28 | Align Technology, Inc. | Dental implant positioning |
US10548700B2 (en) | 2016-12-16 | 2020-02-04 | Align Technology, Inc. | Dental appliance etch template |
US10595966B2 (en) | 2016-11-04 | 2020-03-24 | Align Technology, Inc. | Methods and apparatuses for dental images |
US10613515B2 (en) | 2017-03-31 | 2020-04-07 | Align Technology, Inc. | Orthodontic appliances including at least partially un-erupted teeth and method of forming them |
US10610332B2 (en) | 2012-05-22 | 2020-04-07 | Align Technology, Inc. | Adjustment of tooth position in a virtual dental model |
US10639134B2 (en) | 2017-06-26 | 2020-05-05 | Align Technology, Inc. | Biosensor performance indicator for intraoral appliances |
US10758321B2 (en) | 2008-05-23 | 2020-09-01 | Align Technology, Inc. | Smile designer |
US10779718B2 (en) | 2017-02-13 | 2020-09-22 | Align Technology, Inc. | Cheek retractor and mobile device holder |
US10813720B2 (en) | 2017-10-05 | 2020-10-27 | Align Technology, Inc. | Interproximal reduction templates |
US10842601B2 (en) | 2008-06-12 | 2020-11-24 | Align Technology, Inc. | Dental appliance |
US10886010B2 (en) | 2006-04-18 | 2021-01-05 | Align Technology, Inc. | Method and system for providing indexing and cataloguing of orthodontic related treatment profiles and options |
US10885521B2 (en) | 2017-07-17 | 2021-01-05 | Align Technology, Inc. | Method and apparatuses for interactive ordering of dental aligners |
US10893918B2 (en) | 2012-03-01 | 2021-01-19 | Align Technology, Inc. | Determining a dental treatment difficulty |
US10919209B2 (en) | 2009-08-13 | 2021-02-16 | Align Technology, Inc. | Method of forming a dental appliance |
US10980613B2 (en) | 2017-12-29 | 2021-04-20 | Align Technology, Inc. | Augmented reality enhancements for dental practitioners |
US10993783B2 (en) | 2016-12-02 | 2021-05-04 | Align Technology, Inc. | Methods and apparatuses for customizing a rapid palatal expander |
US11026831B2 (en) | 2016-12-02 | 2021-06-08 | Align Technology, Inc. | Dental appliance features for speech enhancement |
US11026768B2 (en) | 1998-10-08 | 2021-06-08 | Align Technology, Inc. | Dental appliance reinforcement |
US11045283B2 (en) | 2017-06-09 | 2021-06-29 | Align Technology, Inc. | Palatal expander with skeletal anchorage devices |
US20210200900A1 (en) * | 2018-07-10 | 2021-07-01 | Intutive Surgical Operations, Inc. | Systems and methods for censoring confidential information |
US11083545B2 (en) | 2009-03-19 | 2021-08-10 | Align Technology, Inc. | Dental wire attachment |
US11096763B2 (en) | 2017-11-01 | 2021-08-24 | Align Technology, Inc. | Automatic treatment planning |
US11103330B2 (en) | 2015-12-09 | 2021-08-31 | Align Technology, Inc. | Dental attachment placement structure |
US11116605B2 (en) | 2017-08-15 | 2021-09-14 | Align Technology, Inc. | Buccal corridor assessment and computation |
US11123156B2 (en) | 2017-08-17 | 2021-09-21 | Align Technology, Inc. | Dental appliance compliance monitoring |
US11213368B2 (en) | 2008-03-25 | 2022-01-04 | Align Technology, Inc. | Reconstruction of non-visible part of tooth |
US11219506B2 (en) | 2017-11-30 | 2022-01-11 | Align Technology, Inc. | Sensors for monitoring oral appliances |
US11273011B2 (en) | 2016-12-02 | 2022-03-15 | Align Technology, Inc. | Palatal expanders and methods of expanding a palate |
US11376101B2 (en) | 2016-12-02 | 2022-07-05 | Align Technology, Inc. | Force control, stop mechanism, regulating structure of removable arch adjustment appliance |
US11419702B2 (en) | 2017-07-21 | 2022-08-23 | Align Technology, Inc. | Palatal contour anchorage |
US11426259B2 (en) | 2012-02-02 | 2022-08-30 | Align Technology, Inc. | Identifying forces on a tooth |
US11432908B2 (en) | 2017-12-15 | 2022-09-06 | Align Technology, Inc. | Closed loop adaptive orthodontic treatment methods and apparatuses |
US11436191B2 (en) | 2007-11-08 | 2022-09-06 | Align Technology, Inc. | Systems and methods for anonymizing patent images in relation to a clinical data file |
US11471252B2 (en) | 2008-10-08 | 2022-10-18 | Align Technology, Inc. | Dental positioning appliance having mesh portion |
US11534974B2 (en) | 2017-11-17 | 2022-12-27 | Align Technology, Inc. | Customized fabrication of orthodontic retainers based on patient anatomy |
US11534268B2 (en) | 2017-10-27 | 2022-12-27 | Align Technology, Inc. | Alternative bite adjustment structures |
US11554000B2 (en) | 2015-11-12 | 2023-01-17 | Align Technology, Inc. | Dental attachment formation structure |
US11564777B2 (en) | 2018-04-11 | 2023-01-31 | Align Technology, Inc. | Releasable palatal expanders |
US11576752B2 (en) | 2017-10-31 | 2023-02-14 | Align Technology, Inc. | Dental appliance having selective occlusal loading and controlled intercuspation |
US11596502B2 (en) | 2015-12-09 | 2023-03-07 | Align Technology, Inc. | Dental attachment placement structure |
US11612454B2 (en) | 2010-04-30 | 2023-03-28 | Align Technology, Inc. | Individualized orthodontic treatment index |
US11612455B2 (en) | 2016-06-17 | 2023-03-28 | Align Technology, Inc. | Orthodontic appliance performance monitor |
US11633268B2 (en) | 2017-07-27 | 2023-04-25 | Align Technology, Inc. | Tooth shading, transparency and glazing |
US11638629B2 (en) | 2014-09-19 | 2023-05-02 | Align Technology, Inc. | Arch expanding appliance |
US11717384B2 (en) | 2007-05-25 | 2023-08-08 | Align Technology, Inc. | Dental appliance with eruption tabs |
US11744677B2 (en) | 2014-09-19 | 2023-09-05 | Align Technology, Inc. | Arch adjustment appliance |
US11931222B2 (en) | 2015-11-12 | 2024-03-19 | Align Technology, Inc. | Dental attachment formation structures |
US11937991B2 (en) | 2018-03-27 | 2024-03-26 | Align Technology, Inc. | Dental attachment placement structure |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2016059739A (en) * | 2014-09-22 | 2016-04-25 | 富士フイルム株式会社 | Portable console, control method for portable console, program for portable console, and radiographic system |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5307262A (en) * | 1992-01-29 | 1994-04-26 | Applied Medical Data, Inc. | Patient data quality review method and system |
US20020016718A1 (en) * | 2000-06-22 | 2002-02-07 | Rothschild Peter A. | Medical image management system and method |
US20020178031A1 (en) * | 2001-03-09 | 2002-11-28 | Sorensen Jesper Leck | Method and apparatus for delivering healthcare |
US7080098B2 (en) * | 2002-05-02 | 2006-07-18 | Smirniotopoulos James G | Medical multimedia database system |
US7310651B2 (en) * | 2004-08-18 | 2007-12-18 | Ashok Dave | Medical media file management system and method |
US20070300270A1 (en) * | 1996-10-30 | 2007-12-27 | Algotec Systems Ltd. | Data distribution system |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP4152558B2 (en) * | 2000-03-03 | 2008-09-17 | Kddi株式会社 | Image transmission device, received image interpretation device, and image transmission / interpretation device with TV conference function |
US20020042724A1 (en) * | 2000-10-06 | 2002-04-11 | Victor Corinne Gerbig | Method for delivering healthcare services |
US20030061073A1 (en) * | 2001-08-01 | 2003-03-27 | Khiang Seow | Method and system for displaying patient information |
US20050196023A1 (en) * | 2004-03-01 | 2005-09-08 | Eastman Kodak Company | Method for real-time remote diagnosis of in vivo images |
-
2004
- 2004-09-15 US US10/941,314 patent/US20060056670A1/en not_active Abandoned
-
2008
- 2008-04-04 US US12/062,561 patent/US8005281B2/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5307262A (en) * | 1992-01-29 | 1994-04-26 | Applied Medical Data, Inc. | Patient data quality review method and system |
US20070300270A1 (en) * | 1996-10-30 | 2007-12-27 | Algotec Systems Ltd. | Data distribution system |
US20020016718A1 (en) * | 2000-06-22 | 2002-02-07 | Rothschild Peter A. | Medical image management system and method |
US20020178031A1 (en) * | 2001-03-09 | 2002-11-28 | Sorensen Jesper Leck | Method and apparatus for delivering healthcare |
US7080098B2 (en) * | 2002-05-02 | 2006-07-18 | Smirniotopoulos James G | Medical multimedia database system |
US7310651B2 (en) * | 2004-08-18 | 2007-12-18 | Ashok Dave | Medical media file management system and method |
Cited By (90)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11026768B2 (en) | 1998-10-08 | 2021-06-08 | Align Technology, Inc. | Dental appliance reinforcement |
US7298876B1 (en) * | 2002-11-04 | 2007-11-20 | R2 Technology, Inc. | Method and apparatus for quality assurance and quality control in radiological equipment using automatic analysis tools |
US10653502B2 (en) | 2004-02-27 | 2020-05-19 | Align Technology, Inc. | Method and system for providing dynamic orthodontic assessment and treatment profiles |
US10413385B2 (en) | 2004-02-27 | 2019-09-17 | Align Technology, Inc. | Method and system for providing dynamic orthodontic assessment and treatment profiles |
US20070128573A1 (en) * | 2004-02-27 | 2007-06-07 | Align Technology, Inc. | Method and system for providing dynamic orthodontic assessment and treatment profiles |
US11607291B2 (en) | 2004-02-27 | 2023-03-21 | Align Technology, Inc. | Method and system for providing dynamic orthodontic assessment and treatment profiles |
US8874452B2 (en) * | 2004-02-27 | 2014-10-28 | Align Technology, Inc. | Method and system for providing dynamic orthodontic assessment and treatment profiles |
US11062263B2 (en) | 2004-12-27 | 2021-07-13 | Cerner Innovation, Inc. | Clinical collaboration using an online networking system |
US20120116800A1 (en) * | 2004-12-27 | 2012-05-10 | Cerner Innovation, Inc. | Clinical collaboration using an online networking system |
US8478610B2 (en) * | 2005-01-19 | 2013-07-02 | Atirix Medical Systems | Medical imaging device quality control system and method |
US20120185292A1 (en) * | 2005-01-19 | 2012-07-19 | Nu Design Medical Technologies, Inc. | Medical imaging device quality control system and method |
US20090030731A1 (en) * | 2006-01-30 | 2009-01-29 | Bruce Reiner | Method and apparatus for generating a patient quality assurance |
US10886010B2 (en) | 2006-04-18 | 2021-01-05 | Align Technology, Inc. | Method and system for providing indexing and cataloguing of orthodontic related treatment profiles and options |
US11717384B2 (en) | 2007-05-25 | 2023-08-08 | Align Technology, Inc. | Dental appliance with eruption tabs |
US20090006131A1 (en) * | 2007-06-29 | 2009-01-01 | General Electric Company | Electronic medical record-influenced data acquisition, processing, and display system and method |
US20090006132A1 (en) * | 2007-06-29 | 2009-01-01 | General Electric Company | Patient-specific electronic medical record and method for making same |
US11436191B2 (en) | 2007-11-08 | 2022-09-06 | Align Technology, Inc. | Systems and methods for anonymizing patent images in relation to a clinical data file |
US20100169116A1 (en) * | 2007-12-27 | 2010-07-01 | Marx James G | Systems and methods for workflow processing |
US9477809B2 (en) | 2007-12-27 | 2016-10-25 | James G. Marx | Systems and methods for workflow processing |
US20090172036A1 (en) * | 2007-12-27 | 2009-07-02 | Marx James G | Systems and methods for workflow processing |
US7937277B2 (en) | 2007-12-27 | 2011-05-03 | Marx James G | Systems and methods for workflow processing |
US20100174994A1 (en) * | 2007-12-27 | 2010-07-08 | Marx James G | Systems and methods for workflow processing |
US7930193B2 (en) | 2007-12-27 | 2011-04-19 | Marx James G | Systems and methods for workflow processing |
US11213368B2 (en) | 2008-03-25 | 2022-01-04 | Align Technology, Inc. | Reconstruction of non-visible part of tooth |
US10543064B2 (en) | 2008-05-23 | 2020-01-28 | Align Technology, Inc. | Dental implant positioning |
US10758321B2 (en) | 2008-05-23 | 2020-09-01 | Align Technology, Inc. | Smile designer |
US10842601B2 (en) | 2008-06-12 | 2020-11-24 | Align Technology, Inc. | Dental appliance |
US10007679B2 (en) | 2008-08-08 | 2018-06-26 | The Research Foundation For The State University Of New York | Enhanced max margin learning on multimodal data mining in a multimedia database |
US11471252B2 (en) | 2008-10-08 | 2022-10-18 | Align Technology, Inc. | Dental positioning appliance having mesh portion |
US11083545B2 (en) | 2009-03-19 | 2021-08-10 | Align Technology, Inc. | Dental wire attachment |
US20140135953A1 (en) * | 2009-04-24 | 2014-05-15 | Canon Kabushiki Kaisha | Medical imaging apparatus, information processing method, and computer-readable storage medium |
US9129049B2 (en) * | 2009-04-24 | 2015-09-08 | Canon Kabushiki Kaisha | Medical imaging apparatus, information processing method, and computer-readable storage medium |
US10919209B2 (en) | 2009-08-13 | 2021-02-16 | Align Technology, Inc. | Method of forming a dental appliance |
US10524881B2 (en) | 2010-04-30 | 2020-01-07 | Align Technology, Inc. | Patterned dental positioning appliance |
US11612454B2 (en) | 2010-04-30 | 2023-03-28 | Align Technology, Inc. | Individualized orthodontic treatment index |
US10421152B2 (en) | 2011-09-21 | 2019-09-24 | Align Technology, Inc. | Laser cutting |
US10828719B2 (en) | 2011-09-21 | 2020-11-10 | Align Technology, Inc. | Laser cutting |
US11426259B2 (en) | 2012-02-02 | 2022-08-30 | Align Technology, Inc. | Identifying forces on a tooth |
US10893918B2 (en) | 2012-03-01 | 2021-01-19 | Align Technology, Inc. | Determining a dental treatment difficulty |
US10610332B2 (en) | 2012-05-22 | 2020-04-07 | Align Technology, Inc. | Adjustment of tooth position in a virtual dental model |
US9471574B2 (en) * | 2012-07-24 | 2016-10-18 | Empire Technology Development Llc | Property list customization |
US10078637B2 (en) | 2012-07-24 | 2018-09-18 | Empire Technology Development Llc | Property list customization |
JP2015125515A (en) * | 2013-12-26 | 2015-07-06 | コニカミノルタ株式会社 | Image transmitter and trial system |
US11638629B2 (en) | 2014-09-19 | 2023-05-02 | Align Technology, Inc. | Arch expanding appliance |
US11744677B2 (en) | 2014-09-19 | 2023-09-05 | Align Technology, Inc. | Arch adjustment appliance |
US10537405B2 (en) | 2014-11-13 | 2020-01-21 | Align Technology, Inc. | Dental appliance with cavity for an unerupted or erupting tooth |
US10504386B2 (en) | 2015-01-27 | 2019-12-10 | Align Technology, Inc. | Training method and system for oral-cavity-imaging-and-modeling equipment |
US10671745B2 (en) * | 2015-08-21 | 2020-06-02 | Samsung Electronics Co., Ltd. | Electronic apparatus and method of transforming content thereof |
US11423168B2 (en) * | 2015-08-21 | 2022-08-23 | Samsung Electronics Co., Ltd. | Electronic apparatus and method of transforming content thereof |
US20170053128A1 (en) * | 2015-08-21 | 2017-02-23 | Samsung Electronics Co., Ltd. | Electronic apparatus and method of transforming content thereof |
US11931222B2 (en) | 2015-11-12 | 2024-03-19 | Align Technology, Inc. | Dental attachment formation structures |
US11554000B2 (en) | 2015-11-12 | 2023-01-17 | Align Technology, Inc. | Dental attachment formation structure |
US11596502B2 (en) | 2015-12-09 | 2023-03-07 | Align Technology, Inc. | Dental attachment placement structure |
US11103330B2 (en) | 2015-12-09 | 2021-08-31 | Align Technology, Inc. | Dental attachment placement structure |
US10470847B2 (en) | 2016-06-17 | 2019-11-12 | Align Technology, Inc. | Intraoral appliances with sensing |
US11612455B2 (en) | 2016-06-17 | 2023-03-28 | Align Technology, Inc. | Orthodontic appliance performance monitor |
US10585958B2 (en) | 2016-07-27 | 2020-03-10 | Align Technology, Inc. | Intraoral scanner with dental diagnostics capabilities |
US10509838B2 (en) | 2016-07-27 | 2019-12-17 | Align Technology, Inc. | Methods and apparatuses for forming a three-dimensional volumetric model of a subject's teeth |
US10595966B2 (en) | 2016-11-04 | 2020-03-24 | Align Technology, Inc. | Methods and apparatuses for dental images |
US11376101B2 (en) | 2016-12-02 | 2022-07-05 | Align Technology, Inc. | Force control, stop mechanism, regulating structure of removable arch adjustment appliance |
US11026831B2 (en) | 2016-12-02 | 2021-06-08 | Align Technology, Inc. | Dental appliance features for speech enhancement |
US10993783B2 (en) | 2016-12-02 | 2021-05-04 | Align Technology, Inc. | Methods and apparatuses for customizing a rapid palatal expander |
US11273011B2 (en) | 2016-12-02 | 2022-03-15 | Align Technology, Inc. | Palatal expanders and methods of expanding a palate |
US10548700B2 (en) | 2016-12-16 | 2020-02-04 | Align Technology, Inc. | Dental appliance etch template |
US10779718B2 (en) | 2017-02-13 | 2020-09-22 | Align Technology, Inc. | Cheek retractor and mobile device holder |
US10613515B2 (en) | 2017-03-31 | 2020-04-07 | Align Technology, Inc. | Orthodontic appliances including at least partially un-erupted teeth and method of forming them |
US11045283B2 (en) | 2017-06-09 | 2021-06-29 | Align Technology, Inc. | Palatal expander with skeletal anchorage devices |
US10639134B2 (en) | 2017-06-26 | 2020-05-05 | Align Technology, Inc. | Biosensor performance indicator for intraoral appliances |
US10885521B2 (en) | 2017-07-17 | 2021-01-05 | Align Technology, Inc. | Method and apparatuses for interactive ordering of dental aligners |
US11419702B2 (en) | 2017-07-21 | 2022-08-23 | Align Technology, Inc. | Palatal contour anchorage |
US11633268B2 (en) | 2017-07-27 | 2023-04-25 | Align Technology, Inc. | Tooth shading, transparency and glazing |
US10517482B2 (en) | 2017-07-27 | 2019-12-31 | Align Technology, Inc. | Optical coherence tomography for orthodontic aligners |
US11116605B2 (en) | 2017-08-15 | 2021-09-14 | Align Technology, Inc. | Buccal corridor assessment and computation |
US11123156B2 (en) | 2017-08-17 | 2021-09-21 | Align Technology, Inc. | Dental appliance compliance monitoring |
US10813720B2 (en) | 2017-10-05 | 2020-10-27 | Align Technology, Inc. | Interproximal reduction templates |
US11534268B2 (en) | 2017-10-27 | 2022-12-27 | Align Technology, Inc. | Alternative bite adjustment structures |
US11576752B2 (en) | 2017-10-31 | 2023-02-14 | Align Technology, Inc. | Dental appliance having selective occlusal loading and controlled intercuspation |
US11096763B2 (en) | 2017-11-01 | 2021-08-24 | Align Technology, Inc. | Automatic treatment planning |
US20190138748A1 (en) * | 2017-11-06 | 2019-05-09 | Microsoft Technology Licensing, Llc | Removing personally identifiable data before transmission from a device |
US10929561B2 (en) * | 2017-11-06 | 2021-02-23 | Microsoft Technology Licensing, Llc | Removing personally identifiable data before transmission from a device |
US11534974B2 (en) | 2017-11-17 | 2022-12-27 | Align Technology, Inc. | Customized fabrication of orthodontic retainers based on patient anatomy |
US11219506B2 (en) | 2017-11-30 | 2022-01-11 | Align Technology, Inc. | Sensors for monitoring oral appliances |
US11432908B2 (en) | 2017-12-15 | 2022-09-06 | Align Technology, Inc. | Closed loop adaptive orthodontic treatment methods and apparatuses |
US10980613B2 (en) | 2017-12-29 | 2021-04-20 | Align Technology, Inc. | Augmented reality enhancements for dental practitioners |
US11013581B2 (en) | 2018-01-26 | 2021-05-25 | Align Technology, Inc. | Diagnostic intraoral methods and apparatuses |
US10813727B2 (en) | 2018-01-26 | 2020-10-27 | Align Technology, Inc. | Diagnostic intraoral tracking |
US10390913B2 (en) | 2018-01-26 | 2019-08-27 | Align Technology, Inc. | Diagnostic intraoral scanning |
US11937991B2 (en) | 2018-03-27 | 2024-03-26 | Align Technology, Inc. | Dental attachment placement structure |
US11564777B2 (en) | 2018-04-11 | 2023-01-31 | Align Technology, Inc. | Releasable palatal expanders |
US20210200900A1 (en) * | 2018-07-10 | 2021-07-01 | Intutive Surgical Operations, Inc. | Systems and methods for censoring confidential information |
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