A Hybrid hierarchical approach for brain tissue segmentation by combining brain Atlas and least square support vector machine

• Published in: Journal of medical signals and sensors Vol. 3; no. 4; pp. 232 - 243
• Main Authors: Kasiri, Keyvan, Kazemi, Kamran, Dehghani, MohammadJavad, Helfroush, MohammadSadegh
• Format: Journal Article
• Language: English
• Published: India Medknow Publications & Media Pvt Ltd 01.10.2013; Wolters Kluwer Medknow Publications
• Subjects: brain; magnetic resonance imaging; Original; segmentation; support vector machines; Atlas; segmentation; magnetic resonance imaging; support vector machines; brain

In this paper, we present a new semi-automatic brain tissue segmentation method based on a hybrid hierarchical approach that combines a brain atlas as a priori information and a least-square support vector machine (LS-SVM). The method consists of three steps. In the first two steps, the skull is rem...