WO2006022916A3 - Method and system for discriminating image representations of classes of objects - Google Patents

Method and system for discriminating image representations of classes of objects Download PDF

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Publication number
WO2006022916A3
WO2006022916A3 PCT/US2005/015326 US2005015326W WO2006022916A3 WO 2006022916 A3 WO2006022916 A3 WO 2006022916A3 US 2005015326 W US2005015326 W US 2005015326W WO 2006022916 A3 WO2006022916 A3 WO 2006022916A3
Authority
WO
WIPO (PCT)
Prior art keywords
lesion
classes
objects
intensity
image representations
Prior art date
Application number
PCT/US2005/015326
Other languages
French (fr)
Other versions
WO2006022916A2 (en
Inventor
Alan Penn
Scott F Thompson
Original Assignee
Alan Penn
Scott F Thompson
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 Alan Penn, Scott F Thompson filed Critical Alan Penn
Priority to CA002577547A priority Critical patent/CA2577547A1/en
Priority to JP2007527265A priority patent/JP2008515466A/en
Priority to US11/660,550 priority patent/US7974676B2/en
Priority to EP05742080.4A priority patent/EP1997068B1/en
Publication of WO2006022916A2 publication Critical patent/WO2006022916A2/en
Publication of WO2006022916A3 publication Critical patent/WO2006022916A3/en

Links

Classifications

    • 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
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • 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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • 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
    • G06T2207/30068—Mammography; Breast
    • 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
    • G06T2207/30096—Tumor; Lesion
    • 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

Abstract

A method of identifying the location of a lesion in an image and evaluating whether the identified lesion is more likely to be cancerous, benign or uncertain is provided where the image includes a plurality of pixels. The method includes defining one or more landmark pixels within the lesion in the growing cluster around the landmark pixel(s) which contains the lesion for each intensity value in a set of possible intensity values; and at each of the intensity levels in the set, constructing a region of interest such that the region of interest is a minimal polygon containing the cluster at that intensity level.
PCT/US2005/015326 2004-08-17 2005-05-03 Method and system for discriminating image representations of classes of objects WO2006022916A2 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
CA002577547A CA2577547A1 (en) 2004-08-17 2005-05-03 Method and system for discriminating image representations of classes of objects
JP2007527265A JP2008515466A (en) 2004-08-17 2005-05-03 Method and system for identifying an image representation of a class of objects
US11/660,550 US7974676B2 (en) 2004-08-17 2005-05-03 Method and system for discriminating image representations of classes of objects
EP05742080.4A EP1997068B1 (en) 2004-08-17 2005-05-03 Method and system for discriminating image representations of classes of objects

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US60198104P 2004-08-17 2004-08-17
US60/601,981 2004-08-17
US64775605P 2005-01-31 2005-01-31
US60/647,756 2005-01-31

Publications (2)

Publication Number Publication Date
WO2006022916A2 WO2006022916A2 (en) 2006-03-02
WO2006022916A3 true WO2006022916A3 (en) 2009-04-09

Family

ID=35967986

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2005/015326 WO2006022916A2 (en) 2004-08-17 2005-05-03 Method and system for discriminating image representations of classes of objects

Country Status (5)

Country Link
US (1) US7974676B2 (en)
EP (1) EP1997068B1 (en)
JP (1) JP2008515466A (en)
CA (1) CA2577547A1 (en)
WO (1) WO2006022916A2 (en)

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US8194951B2 (en) * 2005-09-30 2012-06-05 Philips Electronics North Method and system for generating display data
WO2008015625A2 (en) 2006-08-02 2008-02-07 Koninklijke Philips Electronics N.V. 3d segmentation by voxel classification based on intensity histogram thresholding initialised by k-means clustering
US8175366B2 (en) * 2006-10-17 2012-05-08 Yeda Research & Development Co. Ltd. Method for obtaining spatial images through MRI and processing the resulting spatial images and product
US8682029B2 (en) 2007-12-14 2014-03-25 Flashfoto, Inc. Rule-based segmentation for objects with frontal view in color images
US8411986B2 (en) * 2009-04-13 2013-04-02 Flashfoto, Inc. Systems and methods for segmenation by removal of monochromatic background with limitied intensity variations
US8670615B2 (en) * 2009-09-30 2014-03-11 Flashfoto, Inc. Refinement of segmentation markup
EP2564353A1 (en) 2010-04-30 2013-03-06 Vucomp, Inc. Spiculated malignant mass detection and classification in radiographic image
US9311567B2 (en) 2010-05-10 2016-04-12 Kuang-chih Lee Manifold learning and matting
WO2012006318A1 (en) 2010-07-07 2012-01-12 Vucomp, Inc. Marking system for computer-aided detection of breast abnormalities
US8918160B2 (en) 2011-07-07 2014-12-23 Alan Penn Computer aided diagnostic method and device
JP5984243B2 (en) * 2012-01-16 2016-09-06 東芝メディカルシステムズ株式会社 Ultrasonic diagnostic apparatus, medical image processing apparatus, and program
EP2844142A4 (en) 2012-05-03 2016-05-11 Alan Penn & Associates Inc Computer aided diagnostic method and device
TWI641603B (en) 2013-08-09 2018-11-21 Kyushu University, National University Corporation Organic metal complex, light-emitting material, delayed fluorescence emitter and organic electroluminescence device
WO2015134668A1 (en) * 2014-03-04 2015-09-11 The Regents Of The University Of California Automated quality control of diagnostic radiology
CN105784731B (en) * 2014-06-25 2019-02-22 同方威视技术股份有限公司 Mesh calibration method and safe examination system in a kind of positioning three-dimensional CT image
US20160113546A1 (en) * 2014-10-23 2016-04-28 Khalifa University of Science, Technology & Research Methods and systems for processing mri images to detect cancer
CN116701153B (en) * 2023-08-09 2023-10-27 云账户技术(天津)有限公司 Evaluation method and device of settlement service performance, electronic equipment and storage medium

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US5133020A (en) * 1989-07-21 1992-07-21 Arch Development Corporation Automated method and system for the detection and classification of abnormal lesions and parenchymal distortions in digital medical images

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US5881124A (en) 1994-03-31 1999-03-09 Arch Development Corporation Automated method and system for the detection of lesions in medical computed tomographic scans
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Also Published As

Publication number Publication date
US20090060297A1 (en) 2009-03-05
CA2577547A1 (en) 2006-03-02
WO2006022916A2 (en) 2006-03-02
JP2008515466A (en) 2008-05-15
EP1997068A4 (en) 2011-05-11
EP1997068A2 (en) 2008-12-03
EP1997068B1 (en) 2018-12-26
US7974676B2 (en) 2011-07-05

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