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A Novel Model-Based 3D+Time Left Ventricular Segmentation Technique
DOI:10.1109/TMI.2010.2086465.png)
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
IF:
9.8
论文数:
6.2K
被引数:
3.7W
机构
引用论文
Statistical shape model of atria, ventricles and epicardium from short- and long-axis MR images
MEDICAL IMAGE ANALYSIS
IF11.8
SPASM:: A 3D-ASM for segmentation of sparse and arbitrarily oriented cardiac MRI dataSPASM:: 用于分割稀疏和任意定向的心脏MRI数据的3D-ASM
MEDICAL IMAGE ANALYSIS
IF11.8
Segmentation of 4D cardiac MR images using a probabilistic atlas and the EM algorithm
MEDICAL IMAGE ANALYSIS
IF11.8

