Homogeneity measures for multiphase level set segmentation of brain MRI

被引：0

作者：

Angelini, Elsa ^{[1
]}

Song, Ting ^{[2
]}

Laine, Andrew ^{[2
]}

机构：

[1] LTCI, Ecole Natl Super Telecommun, UMR 5141, CNRS,Dept Traitement Signal & Images, Paris, France

[2] Columbia Univ, Dept Biomed Engn, New York, NY 10027 USA

来源：

2006 3RD IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1-3 | 2006年

关键词：

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

This paper presents a new homogeneity measure for variational segmentation with multiple level set functions. We propose to modify the quadratic homogeneity measure to trade off the convexity of the function against a faster rate of convergence. We tested in two series of experiments the performance of this new homogeneity force at converging to appropriate partitioning of brain MRI data sets, over a large range of image spatial resolution and image quality, in terms of tissue homogeneity and contrast.

引用

页码：746 / +

页数：2

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