학술논문
Segmentation of myelinated white matter in pediatric brain magnetic resonance images
Document Type
Conference
Source
2014 IEEE International Conference on Computational Intelligence and Computing Research Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on. :1-4 Dec, 2014
Subject
Language
Abstract
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.