Extracting and representing the cortical sulci

被引：30

作者：

Zhou, Y ^{[1
]}

Thompson, PM ^{[1
]}

Toga, AW ^{[1
]}

机构：

[1] Univ Calif Los Angeles, Sch Med, Dept Neurol, Lab Neuroimaging, Los Angeles, CA 90095 USA

来源：

IEEE COMPUTER GRAPHICS AND APPLICATIONS | 1999年 / 19卷 / 03期

关键词：

D O I：

10.1109/38.761550

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The characteristics of the cortical sulci provide valuable information to help scientists understand the various functions of the different regions of the brain. It is therefore important to develop a modeling technique of that would accurately simulate the structural complexity of the cortical sulci. Towards this end, a robust voxel-coding methodology is proposed that automatically extracts and parameterizes the sulcal surfaces from volume data sets. The properties of the initial contours provide a robust principle for unambiguous sulcal surface reconstruction. Several comparisons with manually derived surface models showed strong agreement between manually and automatically derived models.

引用

页码：49 / 55

页数：7

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