Decomposition of the brain portions by fuzzy inference techniques

N. Morinaga, Syoji Kobashi, N. Kamiura, Y. Hata, K. Yamato
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引用次数: 2

Abstract

The purpose of this paper establishes a method to decompose the brain region into the inherent portions. In it fuzzy inference is used to evaluate what portion each voxel belongs to. We develop a decomposition method based on standard region growing algorithm, which requires the inference results. The comparison of the volumes of our extracted portions with manually measured volumes by a medical doctor shows that on the average, the error rate is 2% for some MRI data.
用模糊推理技术分解大脑部分
本文的目的是建立一种将大脑区域分解为固有部分的方法。在该算法中,模糊推理用于评估每个体素属于哪个部分。我们开发了一种基于标准区域生长算法的分解方法,该方法需要推理结果。将我们提取部分的体积与医生手动测量的体积进行比较,结果表明,某些MRI数据的平均错误率为2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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