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A Novel Model-Based 3D+Time Left Ventricular Segmentation Technique

delete2011-02-01
delete36
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OA
AI
O
Ovidiu Ghita
P
Paul F. Whelan
DOI:10.1109/TMI.2010.2086465delete
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摘要

摘要

En 中文
A common approach to model-based segmentation is to assume a top-down modelling strategy. However, this is not feasible for complex 3D+time structures, such as the cardiac left ventricle, due to increased training requirements, aligning difficulties and local minima in resulting models. As our main contribution, we present an alternate bottom-up modelling approach. By combining the variation captured in multiple dimensionally-targeted models at segmentation-time we create a scalable segmentation framework that does not suffer from the curse of dimensionality. Our second contribution involves a flexible contour coupling technique that allows our segmentation method to adapt to unseen contour configurations outside the training set. This is used to identify the endo- and epicardium contours of the left ventricle by coupling them at segmentation-time, instead of at model-time. We apply our approach to 33 3D+time cardiac MRI datasets and perform comprehensive evaluation against several state-of-the-art works. Quantitative evaluation illustrates that our method requires significantly less training than state-of-the-art model-based methods, while maintaining or improving segmentation accuracy.
Keyword:
Active shape model (ASM)
ASM optimization
contour coupling
spatio-temporal left ventricle dynamics

期刊

IEEE Transactions on Medical Imaging 封面图
IEEE Transactions on Medical Imaging
IF:
9.8
论文数:
6.2K
被引数:
3.7W

机构

D
Dublin City University
学者数:
5.6K
论文数: 5.0K
被引数: 5.2K
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