Simultaneous Brain Structures Segmentation Combining Shape and Pose Forces

• Published in: Multimodal Brain Image Analysis Vol. 7012; pp. 143 - 151
• Main Authors: Soldea, Octavian, Doan, Trung, Webb, Andrew, van Buchem, Mark, Milles, Julien, Jasinschi, Radu
• Format: Book Chapter
• Language: English
• Published: Germany Springer Berlin / Heidelberg 2011; Springer Berlin Heidelberg
• Series: Lecture Notes in Computer Science
• ISBN: 9783642244452; 3642244459
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-642-24446-9_18

This paper presents a new supervised learning based method for brain structure segmentation. We learn moment-based signatures of structures of interest and formulate the segmentation as a maximum a-posteriori estimation problem employing nonparametric multivariate kernel densities. For this problem, we propose a gradient flow solution. We have compared our method with state-of-the-art methods such as FSL-FIRST and Free-Surfer using volumetric 3T from IBSR. In addition, we have evaluated our algorithm on 7T MR data. We report comparative results of accuracy and significantly improved time-efficiency.