Automated segmentation of brain MR images

被引：117

作者：

Tsai, C ^{[1
]}

Manjunath, BS ^{[1
]}

Jagadeesan, R ^{[1
]}

机构：

[1] UNIV CALIF SANTA BARBARA,DEPT ELECT & COMP ENGN,CTR INFORMAT PROC RES,SANTA BARBARA,CA 93106

来源：

PATTERN RECOGNITION | 1995年 / 28卷 / 12期

关键词：

D O I：

10.1016/0031-3203(95)00047-X

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];

摘要：

A simple, robust and efficient image segmentation algorithm for classifying brain tissues from dual echo Magnetic Resonance (MR) images is presented. The algorithm consists of a sequence of adaptive histogram analysis, morphological operations and knowledge based rules to accurately classify various regions such as the brain matter and the cerebrospinal fluid, and detect if there are any abnormal regions. It can be completely automated and has been tested on over hundred images from several patient studies. Experimental results are provided.

引用

页码：1825 / 1837

页数：13

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