電気学会論文誌C(電子・情報・システム部門誌)
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
ベクトル量子化を用いた脳領域抽出
木村 敏文井川 真一山内 健次
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ジャーナル フリー

1998 年 118 巻 12 号 p. 1712-1716

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Magnetic resonance imaging provides a highly efficacity for the diagnosis of brain's disease. There are various methods to extract the required portions from MRI data. In this paper we propose a simple algorithm to carry out it by using vector quantization. Our porposed algorithm has three steps. First step is pixel classification using vector quantization. We classify image's pixel background, CSF (cerebrospinal fluid), gray matter and white matter. Second step, we obtain initial brain region using region mergering. Brain region consists of gray matter and white matter. Final step, we extracted brain region using location information and region size. We compare brain volume using proposed method in this paper with manually obtained brain volume by a doctor, and the difference for two methods is 0.1∼7.2%.

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