Cortical surface segmentation and mapping

被引：44

作者：

Tosun, D

Rettmann, ME

Han, X

Tao, XD

Xu, CY

Resnick, SM

Pham, DL

Prince, JL ^{[1
]}

机构：

[1] Johns Hopkins Univ, Dept Elect & Comp Engn, Baltimore, MD 21218 USA

[2] NIA, NIH, Baltimore, MD 21224 USA

[3] Johns Hopkins Univ Hosp, Dept Radiol, Baltimore, MD 21287 USA

[4] Siemens Corp Res, Imaging & Visualisat Dept, Princeton, NJ 08540 USA

来源：

NEUROIMAGE | 2004年 / 23卷

关键词：

cerebral cortex; cortical surface; cortical thickness; surface flattening;

D O I：

10.1016/j.neuroimage.2004.07.042

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

Segmentation and mapping of the human cerebral cortex from magnetic resonance (MR) images plays an important role in neuroscience and medicine. This paper describes a comprehensive approach for cortical reconstruction, flattening, and sulcal segmentation. Robustness to imaging artifacts and anatomical consistency are key achievements in an overall approach that is nearly fully automatic and computationally fast. Results demonstrating the application of this approach to a study of cortical thickness changes in aging are presented. (C) 2004 Elsevier Inc. All rights reserved.

引用

页码：S108 / S118

页数：11

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