人工智能
直线(几何图形)
计算机科学
计算机视觉
模式识别(心理学)
图像(数学)
曲面(拓扑)
人脑
数学
神经科学
心理学
几何学
出处
期刊:IEEE Transactions on Medical Imaging
[Institute of Electrical and Electronics Engineers]
日期:1998-01-01
卷期号:17 (6): 1040-1048
被引量:61
摘要
This paper describes automatic procedures for extracting sulcal and gyral patterns from magnetic resonance (MR) images of the human brain. Specifically, the authors present three algorithms for the extraction of gyri, sulci, and sulcal fundi. These algorithms yield highly condensed line representations which can be used to describe the individual properties of the neocortical surface. The algorithms consist of a sequence of image analysis steps applied directly to the volumetric image data without requiring intermediate data representations such as surfaces or three-dimensional renderings. Previous studies have mostly focused on the extraction of surface representations, rather than line representations of cortical structures. The authors believe that line representations provide a valuable alternative to surface representations.
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