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WO2007144620A3 - Automatic quantification of changes in images - Google Patents

Automatic quantification of changes in images Download PDF

Info

Publication number
WO2007144620A3
WO2007144620A3 PCT/GB2007/002206 GB2007002206W WO2007144620A3 WO 2007144620 A3 WO2007144620 A3 WO 2007144620A3 GB 2007002206 W GB2007002206 W GB 2007002206W WO 2007144620 A3 WO2007144620 A3 WO 2007144620A3
Authority
WO
WIPO (PCT)
Prior art keywords
images
changes
methods
automatic quantification
brain
Prior art date
Application number
PCT/GB2007/002206
Other languages
French (fr)
Other versions
WO2007144620A2 (en
Inventor
Derek L G Hill
Kelvin K Leung
Nadeem Saeed
Original Assignee
Ucl Business Plc
Glaxo Group Ltd
Derek L G Hill
Kelvin K Leung
Nadeem Saeed
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 Ucl Business Plc, Glaxo Group Ltd, Derek L G Hill, Kelvin K Leung, Nadeem Saeed filed Critical Ucl Business Plc
Publication of WO2007144620A2 publication Critical patent/WO2007144620A2/en
Publication of WO2007144620A3 publication Critical patent/WO2007144620A3/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
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/149—Segmentation; Edge detection involving deformable models, e.g. active contour models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/155—Segmentation; Edge detection involving morphological operators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/174—Segmentation; Edge detection involving the use of two or more images
    • 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
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G06T2207/20128—Atlas-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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20212—Image combination
    • G06T2207/20224—Image subtraction
    • 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
    • G06T2207/30008—Bone
    • 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
    • G06T2207/30016—Brain
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03—Recognition of patterns in medical or anatomical images

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Quality & Reliability (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Magnetic Resonance Imaging Apparatus (AREA)

Abstract

The present invention relates to image processing and particularly to the automatic quantification of changes in images, such as changes in MR or CT images of joints or changes in MR images of the brain. Highly automated methods for the analysis of multiple structures of interest are provided. Methods for automatically delineating bones from images and methods for quantifying size, shape and brightness changes in images are also provided. The invention has wide applicability and can be used, for example, on images of joints, and images of the brain.
PCT/GB2007/002206 2006-06-14 2007-06-14 Automatic quantification of changes in images WO2007144620A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
GBGB0611774.1A GB0611774D0 (en) 2006-06-14 2006-06-14 Automatic quantification of changes in images
GB0611774.1 2006-06-14

Publications (2)

Publication Number Publication Date
WO2007144620A2 WO2007144620A2 (en) 2007-12-21
WO2007144620A3 true WO2007144620A3 (en) 2008-06-26

Family

ID=36775630

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/GB2007/002206 WO2007144620A2 (en) 2006-06-14 2007-06-14 Automatic quantification of changes in images

Country Status (2)

Country Link
GB (1) GB0611774D0 (en)
WO (1) WO2007144620A2 (en)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101226633B (en) * 2008-01-30 2011-04-20 哈尔滨工程大学 Method for segmentation of corps canopy image based on average dispersion
US9875549B2 (en) 2010-11-18 2018-01-23 Bae Systems Plc Change detection in video data
CN102063707B (en) * 2011-01-05 2013-06-12 西安电子科技大学 Mean shift based grey relation infrared imaging target segmentation method
KR101878182B1 (en) * 2011-12-02 2018-07-16 엘지디스플레이 주식회사 Device for detecting scene change and method for detecting scene change
WO2014155299A1 (en) * 2013-03-28 2014-10-02 Koninklijke Philips N.V. Interactive follow-up visualization
KR20150077184A (en) 2013-12-27 2015-07-07 삼성전자주식회사 Apparatus and Method for determining similarity between lesions in medical image
CN104050666B (en) * 2014-06-10 2017-07-11 电子科技大学 Brain MR image method for registering based on segmentation
CN110580728B (en) * 2019-09-16 2022-11-25 中南大学 CT-MR modal migration method based on structural feature self-enhancement
CN111951316A (en) * 2020-07-27 2020-11-17 上海联影智能医疗科技有限公司 Image quantization method and storage medium
CN112577960B (en) * 2020-12-07 2024-05-24 上海威士顿信息技术股份有限公司 Method and system for detecting impurities in tobacco leaves and computer-readable storage medium

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060018548A1 (en) * 2004-02-13 2006-01-26 Weijie Chen Method, system, and computer software product for automated identification of temporal patterns with high initial enhancement in dynamic magnetic resonance breast imaging

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060018548A1 (en) * 2004-02-13 2006-01-26 Weijie Chen Method, system, and computer software product for automated identification of temporal patterns with high initial enhancement in dynamic magnetic resonance breast imaging

Non-Patent Citations (8)

* Cited by examiner, † Cited by third party
Title
CHEN ET AL: "A Fuzzy C-Means (FCM)-Based Approach for Computerized Segmentation of Breast Lesions in Dynamic Contrast-Enhanced MR Images<1>", ACADEMIC RADIOLOGY, RESTON, VA, US, vol. 13, no. 1, January 2006 (2006-01-01), pages 63 - 72, XP005234317, ISSN: 1076-6332 *
COMANICIU D ET AL: "Mean shift: A robust approach toward feature space analysis", IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, IEEE SERVICE CENTER, LOS ALAMITOS, CA, US, vol. 24, no. 5, May 2002 (2002-05-01), pages 603 - 619, XP002323348, ISSN: 0162-8828 *
DEMENTHON D: "Spatio-temporal segmentation of video by hierarchical mean shift analysis", PROCEEDINGS OF THE STATISTICAL METHODS IN VIDEO PROCESSING WORKSHOP, 2002, pages 115 - 120, XP002323406 *
GREENSPAN H ET AL: "PROBABILISTIC SPACE-TIME VIDEO MODELING VIA PIECEWISE GMM", IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, IEEE SERVICE CENTER, LOS ALAMITOS, CA, US, vol. 26, no. 3, March 2004 (2004-03-01), pages 384 - 396, XP001190681, ISSN: 0162-8828 *
LISA JONASSON ET AL: "Representing Diffusion MRI in 5D for Segmentation of White Matter Tracts with a Level Set Method", INFORMATION PROCESSING IN MEDICAL IMAGING LECTURE NOTES IN COMPUTER SCIENCE;;LNCS, SPRINGER-VERLAG, BE, vol. 3565, 2005, pages 311 - 320, XP019011597, ISBN: 3-540-26545-7 *
MAYER A ET AL: "Segmentation of brain MRI by adaptive mean shift", BIOMEDICAL IMAGING: MACRO TO NANO, 2006. 3RD IEEE INTERNATIONAL SYMPOSIUM ON APRIL 6, 2006, PISCATAWAY, NJ, USA,IEEE, 6 April 2006 (2006-04-06), pages 319 - 322, XP010912631, ISBN: 0-7803-9576-X *
REY D ET AL: "A spatio-temporal model-based statistical approach to detect evolving multiple sclerosis lesions", MATHEMATICAL METHODS IN BIOMEDICAL IMAGE ANALYSIS, 2001. MMBIA 2001. IEEE WORKSHOP ON KAUAI, HI, USA 9-10 DEC. 2001, LOS ALAMITOS, CA, USA,IEEE COMPUT. SOC, US, 9 December 2001 (2001-12-09), pages 105 - 112, XP010584865, ISBN: 0-7695-1336-0 *
WEI FENG ET AL: "Non-rigid objects detection and segmentation in video sequence using 3d mean shift analysis", MACHINE LEARNING AND CYBERNETICS, 2003 INTERNATIONAL CONFERENCE ON NOV. 2-5, 2003, PISCATAWAY, NJ, USA,IEEE, vol. 5, 2 November 2003 (2003-11-02), pages 3134 - 3139, XP010682279, ISBN: 0-7803-7865-2 *

Also Published As

Publication number Publication date
WO2007144620A2 (en) 2007-12-21
GB0611774D0 (en) 2006-07-26

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