磁共振图像中人脑组织的自动分割和标记

Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396) Pub Date : 2000-02-22 DOI:10.1109/NRSC.2000.838979

H. A. Mokbel, M. Morsy, F. Abou-Chadi

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引用次数: 5

摘要

这项工作提出了一种自动组织标记人类大脑的2-D磁共振(MR)图像的技术。该技术由两部分组成:无监督聚类算法和基于知识的聚类技术。基于知识的技术包含了特征空间和组织模型中聚类分布的信息。这种方法也为正常和异常图像的分类提供了第一步。

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Automatic segmentation and labeling of human brain tissue from MR images

This work presents a technique for automatic tissue labeling of 2-D magnetic resonance (MR) images of the human brain. This technique consists of two components: an unsupervised clustering algorithm and a knowledge-based technique. The knowledge-based technique contains information on the cluster distribution in feature space and tissue models. This approach also provides a first step toward classification of normal and abnormal images.

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Proceedings of the Seventeenth National Radio Science Conference. 17th NRSC'2000 (IEEE Cat. No.00EX396)

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