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Dynamic deformable models for 3D MRI heart segmentation

Zhukov, Leonid and Bao, Zhaosheng and Gusikov, Igor and Wood, John and Breen, David (2002) Dynamic deformable models for 3D MRI heart segmentation. In: Medical Imaging 2002: Image Processing. Proceedings of SPIE. No.4684. Society of Photo-optical Instrumentation Engineers (SPIE) , Bellingham, WA, pp. 1398-1405. ISBN 9780819444295.

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Automated or semiautomated segmentation of medical images decreases interstudy variation, observer bias, and postprocessing time as well as providing clincally-relevant quantitative data. In this paper we present a new dynamic deformable modeling approach to 3D segmentation. It utilizes recently developed dynamic remeshing techniques and curvature estimation methods to produce high-quality meshes. The approach has been implemented in an interactive environment that allows a user to specify an initial model and identify key features in the data. These features act as hard constraints that the model must not pass through as it deforms. We have employed the method to perform semi-automatic segmentation of heart structures from cine MRI data.

Item Type:Book Section
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Additional Information:© 2002 Society of Photo-Optical Instrumentation Engineers (SPIE).
Subject Keywords:Deformable models, dynamic meshes, segmentation, heart MRI
Series Name:Proceedings of SPIE
Issue or Number:4684
Record Number:CaltechAUTHORS:20190221-110517971
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Official Citation:Leonid Zhukov, Zhaosheng Bao, Igor Gusikov, John Wood, and David E. Breen "Dynamic deformable models for 3D MRI heart segmentation", Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); doi: 10.1117/12.467105;
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:93055
Deposited By: George Porter
Deposited On:04 Mar 2019 15:49
Last Modified:16 Nov 2021 16:55

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