Topology correction of segmented medical images using a fast marching algorith

被引：39

作者：

Bazin, Pierre-Louis ^{[1
]}

Pham, Dzunq L. ^{[1
]}

机构：

[1] Johns Hopkins Univ, Dept Radiol & Radiol Sci, Neuroradiol Div, Lab Med Image Comp, Baltimore, MD 21218 USA

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2007年 / 88卷 / 02期

关键词：

topology correction; fast marching methods; segmentation; brain imaging;

D O I：

10.1016/j.cmpb.2007.08.006

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We present here a new method for correcting the topology of objects segmented from medical images. Whereas previous techniques alter a surface obtained from a binary segmentation of the object, our technique can be applied directly to the image intensities of a probabilistic or fuzzy segmentation, thereby propagating the topology for all isosurfaces of the object. From an analysis of topological changes and critical points in implicit surfaces, we derive a topology propagation algorithm that enforces any desired topology using a fast marching technique. The method has been applied successfully to the correction of the cortical gray matter/white matter interface in segmented brain images and is publicly released as a software plug-in for the MIPAV package. (c) 2007 Elsevier Ireland Ltd. All rights reserved.

引用

页码：182 / 190

页数：9

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