Conference proceeding
Left-ventricle segmentation in real-time 3D echocardiography using a hybrid active shape model and optimal graph search approach
Proceedings of SPIE, Vol.7626(1), pp.76261C-76261C-12
Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging
03/09/2010
DOI: 10.1117/12.844357
Abstract
Quantitative analysis of the left ventricular shape and motion patterns associated with left ventricular mechanical
dyssynchrony (LVMD) is essential for diagnosis and treatment planning in congestive heart failure. Real-time
3D echocardiography (RT3DE) used for LVMD analysis is frequently limited by heavy speckle noise or partially
incomplete data, thus a segmentation method utilizing learned global shape knowledge is beneficial. In this
study, the endocardial surface of the left ventricle (LV) is segmented using a hybrid approach combining active
shape model (ASM) with optimal graph search. The latter is used to achieve landmark refinement in the ASM
framework. Optimal graph search translates the 3D segmentation into the detection of a minimum-cost closed set
in a graph and can produce a globally optimal result. Various information-gradient, intensity distributions,
and regional-property terms-are used to define the costs for the graph search. The developed method was
tested on 44 RT3DE datasets acquired from 26 LVMD patients. The segmentation accuracy was assessed by
surface positioning error and volume overlap measured for the whole LV as well as 16 standard LV regions. The
segmentation produced very good results that were not achievable using ASM or graph search alone.
Details
- Title: Subtitle
- Left-ventricle segmentation in real-time 3D echocardiography using a hybrid active shape model and optimal graph search approach
- Creators
- Honghai Zhang - University of IowaAdemola K Abiose - University of IowaDwayne N Campbell - University of IowaMilan Sonka - University of IowaJames B Martins - University of IowaAndreas Wahle - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.7626(1), pp.76261C-76261C-12
- Conference
- Medical Imaging 2010: Biomedical Applications in Molecular, Structural, and Functional Imaging
- DOI
- 10.1117/12.844357
- ISSN
- 0277-786X
- Language
- English
- Date published
- 03/09/2010
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; The Iowa Institute for Biomedical Imaging; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Internal Medicine; Ophthalmology and Visual Sciences
- Record Identifier
- 9984186601902771
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