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
收藏
页码：559 / 566
页数：8
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