Partial Clustering for Tissue Segmentation in MRI

被引：0

作者：

Goncalves, Nicolau ^{[1
]}

Nikkila, Janne ^{[1
]}

Vigario, Ricardo ^{[1
]}

机构：

[1] Aalto Univ, Adapt Informat Res Ctr, FIN-02015 Helsinki, Finland

来源：

ADVANCES IN NEURO-INFORMATION PROCESSING, PT II | 2009年 / 5507卷

关键词：

CLASSIFICATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Magnetic resonance imaging (MRI) is a imaging and diagnostic tool widely used, with excellent spatial resolution, and efficient in distinguishing between soft tissues. Here, we present a method for semi-automatic identification of brain tissues in based on a combination of machine learning approaches. Our approach uses self-organising maps (SOMs) for voxel labelling, which are used to seed the discriminative clustering (DC) classification algorithm. This method reduces the intensive need for a specialist, and allows for a rather systematic follow-up of the evolution of brain lesions, or their treatment.

引用

页码：559 / 566

页数：8

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