基于模糊匹配技术的脑区三维自动提取方法

Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium Pub Date : 1996-12-11 DOI:10.1109/AFSS.1996.583585

Syoji Kobashi, N. Kamiura, Y. Hata, K. Yamato

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引用次数: 9

摘要

在医学领域，从磁共振图像中提取大脑区域对阿尔茨海默病的诊断具有重要价值。本文提出了一种利用模糊匹配技术提取大脑区域的新方法。本文描述了一种基于模糊逻辑的强度直方图建模方法，并对模糊匹配技术在脑区提取中的应用进行了评价。我们开发了基于标准区域增长技术的提取算法。对36个MRI数据的实验结果表明，与医生手动提取的体积相比，错误率平均为2.4%。

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3D automatic extraction method of the brain regions aided by fuzzy matching techniques

In the field of medical science, the extraction of the brain regions from MR images is valuable to diagnose an Alzheimer's disease. We propose here a novel approach to extract the brain region using the fuzzy matching technique. We describe a modeling of the intensity histogram by fuzzy logic and evaluate fuzzy matching techniques for the extraction of the brain region. We develop the extraction algorithm based on a standard region growing technique. An experimental result on 36 MRI data shows that the error rate is 2.4%, on the average, against manually extracted volumes by a medical doctor.

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Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium

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