AUTOMATIC SEGMENTATION OF HEAD MRI IMAGES BY KNOWLEDGE GUIDED THRESHOLDING

被引：99

作者：

SUZUKI, H

TORIWAKI, J

机构：

[1] Faculty of Engineering, Nagoya University, Chikusa-Ku, Nagoya, 464, Furo-cho

来源：

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 1991年 / 15卷 / 04期

关键词：

THRESHOLDING; ITERATIVE PROCESSING; MRI IMAGE; KNOWLEDGE-GUIDED TECHNIQUES;

D O I：

10.1016/0895-6111(91)90081-6

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this paper we present a procedure which automatically extracts soft-tissues from multi-sliced head MRI images, and then displays three-dimensional shapes of the extracted soft-tissues. We use an iterative thresholding algorithm for segmentation in which an optimum threshold value is decided based on a goodness measure we proposed. This procedure can be used in a preliminary diagnosis in brain surgery without much effort of users, because of whole procedure including threshold selection and segmentation is performed automatically for rendering a three-dimensional image of soft-tissue's surface on a graphic terminal.

引用

页码：233 / 240

页数：8

共 9 条

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