MRI brain image segmentation by multi-resolution edge detection and region selection

被引：153

作者：

Tang, H ^{[1
]}

Wu, EX ^{[1
]}

Ma, QY ^{[1
]}

Gallagher, D ^{[1
]}

Perera, GM ^{[1
]}

Zhuang, T ^{[1
]}

机构：

[1] Columbia Univ, Hatch NMR Res Ctr, Dept Radiol, New York, NY 10023 USA

来源：

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 2000年 / 24卷 / 06期

关键词：

image segmentation; multi-resolution edge detection; multi-scale filtering; region-growing; threshold selection;

D O I：

10.1016/S0895-6111(00)00037-9

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 [生物医学工程];

摘要：

Combining both spatial and intensity information in image, we present an MRI brain image segmentation approach based on multiresolution edge detection, region selection, and intensity threshold methods. The detection of white matter structure in brain is emphasized in this paper. First, a multi-resolution brain image representation and segmentation procedure based on a multi;scale image filtering method is presented. Given the nature of the structural connectivity and intensity homogeneity of brain tissues, region-based methods such as region growing and subtraction to segment the brain tissue structure from the multi-resolution images are utilized. From the segmented structure, the region-of-interest (ROI) image in the structure region is derived, and then a modified segmentation of the ROI based on an automatic threshold method using our threshold selection criterion is Presented. Examples on both T1 and T2 weighted MRI brain image segmentation is presented, showing finer brain tissue structures, (C) 2000 Elsevier Science Ltd. All rights reserved.

引用

页码：349 / 357

页数：9

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