Segmentation of Myelinated White Matter in Pediatric Brain Magnetic Resonance Images

被引：0

作者：

Devi, Chelli N. ^{[1
]}

Sundararaman, V. K. ^{[2
]}

Chandrasekharan, Anupama ^{[3
]}

Alex, Zachariah C. ^{[4
]}

机构：

[1] VIT Univ, Sch Elect Engn, Vellore, Tamil Nadu, India

[2] Philips Innovat Ctr, Bangalore, Karnataka, India

[3] Sri Ramachandra Univ, Dept Radiol, Madras, Tamil Nadu, India

[4] VIT Univ, Ctr Sponsored Res, Vellore, Tamil Nadu, India

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMPUTING RESEARCH (IEEE ICCIC) | 2014年

关键词：

Atlas-free segmentation; Myelinated white matter; Pediatric brain MRI; Tsallis entropy segmentation; NEONATAL BRAIN; AUTOMATIC SEGMENTATION; MR-IMAGES;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The automated tissue classification of pediatric brain magnetic resonance images, specially proper segmentation of myelinated white matter, is a highly challenging task. The proposed approach first extracts the brain tissue, followed by a precise delineation of the myelinated component based on Tsallis entropy segmentation. Unlike most of the currently available algorithms, the proposed technique is totally atlas-free. Qualitative validation shows that the obtained segmentation results correspond well to those of manual segmentation.

引用

页码：726 / 729

页数：4

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