皮层分割-一种快速变分几何方法

Proceedings IEEE Workshop on Variational and Level Set Methods in Computer Vision Pub Date : 2001-07-13 DOI:10.1109/VLSM.2001.938891

Roman Goldenberg, R. Kimmel, E. Rivlin, M. Rudzsky

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引用次数: 29

摘要

从三维脑图像(MR或CT)中自动分割皮层灰质是医学图像处理中一个众所周知的问题。我们将其表述为两个耦合边界面传播的几何变分问题。采用了一种有效的数值格式来实现测地线活动曲面模型。给出了在真实三维MR数据上进行皮层分割的实验结果。

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Cortex segmentation - a fast variational geometric approach

An automatic cortical gray matter segmentation from three-dimensional brain images (MR or CT) is a well known problem in medical image processing. We formulate it as a geometric variational problem for propagation of two coupled bounding surfaces. An efficient numerical scheme is used to implement the geodesic active surface model. Experimental results of cortex segmentation on real three-dimensional MR data are provided.

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Proceedings IEEE Workshop on Variational and Level Set Methods in Computer Vision

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