WO2007035687A3 - Method and apparatus for detecting interventricular dyssynchrony - Google Patents

Method and apparatus for detecting interventricular dyssynchrony Download PDF

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Publication number
WO2007035687A3
WO2007035687A3 PCT/US2006/036384 US2006036384W WO2007035687A3 WO 2007035687 A3 WO2007035687 A3 WO 2007035687A3 US 2006036384 W US2006036384 W US 2006036384W WO 2007035687 A3 WO2007035687 A3 WO 2007035687A3
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WO
WIPO (PCT)
Prior art keywords
image
images
interventricular
detecting
segmented
Prior art date
Application number
PCT/US2006/036384
Other languages
French (fr)
Other versions
WO2007035687A8 (en
WO2007035687A2 (en
Inventor
Philip F Binkley
Subha V Raman
Original Assignee
Univ Ohio State
Philip F Binkley
Subha V Raman
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 Univ Ohio State, Philip F Binkley, Subha V Raman filed Critical Univ Ohio State
Priority to US12/067,092 priority Critical patent/US8131043B2/en
Priority to EP06814902A priority patent/EP1933703A2/en
Publication of WO2007035687A2 publication Critical patent/WO2007035687A2/en
Publication of WO2007035687A3 publication Critical patent/WO2007035687A3/en
Publication of WO2007035687A8 publication Critical patent/WO2007035687A8/en

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Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1075Measuring physical dimensions, e.g. size of the entire body or parts thereof for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/72Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235Details of waveform analysis
    • A61B5/7264Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/60Analysis of geometric attributes
    • G06T7/62Analysis of geometric attributes of area, perimeter, diameter or volume
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/05Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves 
    • A61B5/055Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves  involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
    • 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
    • A61B6/503Clinical applications involving diagnosis of heart
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/08Detecting organic movements or changes, e.g. tumours, cysts, swellings
    • A61B8/0883Detecting organic movements or changes, e.g. tumours, cysts, swellings for diagnosis of the heart
    • 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
    • G06T2207/10072Tomographic images
    • G06T2207/100764D tomography; Time-sequential 3D tomography
    • 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
    • G06T2207/10072Tomographic images
    • G06T2207/10088Magnetic resonance imaging [MRI]
    • 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
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Several embodiments of a method and apparatus for detecting interventricular dyssynchrony are provided. In one embodiment, the apparatus includes an image segment processor and an image classifier. The image segment processor may segment left and right ventricles in source images of a subject's heart to form left and right ventricle segments in segmented images. Each source image may include cross sections of the right and left ventricles in common spatial relation along the short axis plane and in common temporal relation in reference to a cardiac cycle. The source images and corresponding segmented images may be temporally-spaced in relation to the cardiac cycle. The image classifier may determine first and second cross-sectional areas associated with the left and right ventricle segments for each segmented image, compare the first and second cross-sectional areas, and classify the subject's heart in an interventricular dyssynchronous class or a non-dyssynchronous class.
PCT/US2006/036384 2005-09-16 2006-09-18 Method and apparatus for detecting interventricular dyssynchrony WO2007035687A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US12/067,092 US8131043B2 (en) 2005-09-16 2006-09-18 Method and apparatus for detecting interventricular dyssynchrony
EP06814902A EP1933703A2 (en) 2005-09-16 2006-09-18 Method and apparatus for detecting interventricular dyssynchrony

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US71811505P 2005-09-16 2005-09-16
US60/718,115 2005-09-16

Publications (3)

Publication Number Publication Date
WO2007035687A2 WO2007035687A2 (en) 2007-03-29
WO2007035687A3 true WO2007035687A3 (en) 2007-06-28
WO2007035687A8 WO2007035687A8 (en) 2007-12-06

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PCT/US2006/036384 WO2007035687A2 (en) 2005-09-16 2006-09-18 Method and apparatus for detecting interventricular dyssynchrony

Country Status (3)

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US (1) US8131043B2 (en)
EP (1) EP1933703A2 (en)
WO (1) WO2007035687A2 (en)

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CN109872312B (en) * 2019-02-15 2022-12-20 腾讯科技(深圳)有限公司 Medical image segmentation method, device and system and image segmentation method
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WO2021076575A1 (en) * 2019-10-15 2021-04-22 University Of Pittsburgh - Of The Commonwealth System Of Higher Education Stress prediction based on neural network

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Also Published As

Publication number Publication date
WO2007035687A8 (en) 2007-12-06
US8131043B2 (en) 2012-03-06
EP1933703A2 (en) 2008-06-25
US20080253638A1 (en) 2008-10-16
WO2007035687A2 (en) 2007-03-29

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