Computational Analysis of LDDMM for Brain Mapping

Computational Analysis of LDDMM for Brain Mapping

One goal of computational anatomy is to develop tools to accurately segment brain structures in healthy and diseased subjects. In this paper, we examine the performance and complexity of such segmentation in the framework of the large deformation diffeomorphic metric mapping (LDDMM) registration met...

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Bibliographic Details
Main Authors: Can eCeritoglu, Xiaoying eTang, Margaret eChow, Darian eHadjiabadi, Damish eShah, Timothy eBrown, Muhammad H. Burhanullah, Huong eTrinh, John eHsu, Katarina A. Ament, Deana eCrocetti, Susumu eMori, Stewart H Mostofsky, Steven eYantis, Michael I Miller, J Tilak eRatnanather
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-08-01
Series:Frontiers in Neuroscience
Subjects:
Brain Mapping
computational anatomy
LDDMM
Subcortical segmentation
multiatlas segmentation
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00151/full

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