WO2001016886A3 - Non-rigid motion image analysis - Google Patents

Non-rigid motion image analysis Download PDF

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Publication number
WO2001016886A3
WO2001016886A3 PCT/GB2000/002767 GB0002767W WO0116886A3 WO 2001016886 A3 WO2001016886 A3 WO 2001016886A3 GB 0002767 W GB0002767 W GB 0002767W WO 0116886 A3 WO0116886 A3 WO 0116886A3
Authority
WO
WIPO (PCT)
Prior art keywords
boundary
endocardial
movement
spline
prediction
Prior art date
Application number
PCT/GB2000/002767
Other languages
French (fr)
Other versions
WO2001016886A2 (en
Inventor
Julia Alison Noble
Gary Jacob
Original Assignee
Isis Innovation
Julia Alison Noble
Gary Jacob
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 Isis Innovation, Julia Alison Noble, Gary Jacob filed Critical Isis Innovation
Priority to JP2001520357A priority Critical patent/JP2003508139A/en
Priority to EP00946145A priority patent/EP1212729A2/en
Priority to US10/069,291 priority patent/US7043063B1/en
Publication of WO2001016886A2 publication Critical patent/WO2001016886A2/en
Publication of WO2001016886A3 publication Critical patent/WO2001016886A3/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • G06T7/0014Biomedical image inspection using an image reference approach
    • G06T7/0016Biomedical image inspection using an image reference approach involving temporal comparison
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • G06T7/246Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • G06T7/246Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • G06T7/251Analysis of motion using feature-based methods, e.g. the tracking of corners or segments involving models
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
    • A61B6/50Clinical applications
    • A61B6/508Clinical applications for non-human patients
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10132Ultrasound image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30048Heart; Cardiac

Abstract

A method of automatically detecting and tracking the endocardial and epicardial boundaries of the left ventricle in an echocardiographic image sequence. The endocardial boundary is manually located in some frames of the image sequence, a B-spline curve is fitted to the manually located boundary and a shape-space for the deformation of the boundary through the sequence is calculated by a principal component analysis (PCA) of the motion. The location of the endocardial boundary for all frames in the sequences is then predicted using the shape-space and this prediction is adjusted by searching for image features, such as sharp changes in intensity, in the vicinity of the prediction. The amount of movement of the endocardial boundary in each clinically significant segment of the ventricular wall is obtained by measuring the degree of movement of the control points for the spline in that segment, and also monitoring the variation in the amount of movement between the control points for each spline.
PCT/GB2000/002767 1999-08-27 2000-07-19 Non-rigid motion image analysis WO2001016886A2 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
JP2001520357A JP2003508139A (en) 1999-08-27 2000-07-19 Non-rigid motion image analysis
EP00946145A EP1212729A2 (en) 1999-08-27 2000-07-19 Non-rigid motion image analysis
US10/069,291 US7043063B1 (en) 1999-08-27 2000-07-19 Non-rigid motion image analysis

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
GB9920401A GB9920401D0 (en) 1999-08-27 1999-08-27 Non-rigid motion image analysis
GB9920401.8 1999-08-27

Publications (2)

Publication Number Publication Date
WO2001016886A2 WO2001016886A2 (en) 2001-03-08
WO2001016886A3 true WO2001016886A3 (en) 2001-11-01

Family

ID=10859987

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/GB2000/002767 WO2001016886A2 (en) 1999-08-27 2000-07-19 Non-rigid motion image analysis

Country Status (5)

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US (1) US7043063B1 (en)
EP (1) EP1212729A2 (en)
JP (1) JP2003508139A (en)
GB (1) GB9920401D0 (en)
WO (1) WO2001016886A2 (en)

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Publication number Publication date
WO2001016886A2 (en) 2001-03-08
EP1212729A2 (en) 2002-06-12
US7043063B1 (en) 2006-05-09
GB9920401D0 (en) 1999-11-03
JP2003508139A (en) 2003-03-04

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