Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.media.2015.08.009
Title: A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion
Authors: Bai W.
Shi W.
de Marvao A.
Dawes T.J.W.
O'Regan D.P.
Cook S.A. 
Rueckert D.
Keywords: Cardiac atlas
Statistical motion model
Statistical parametric mapping
Statistical shape model
Issue Date: 2015
Publisher: Elsevier
Citation: Bai W., Shi W., de Marvao A., Dawes T.J.W., O'Regan D.P., Cook S.A., Rueckert D. (2015). A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion. Medical Image Analysis 26 (1) : 133-145. ScholarBank@NUS Repository. https://doi.org/10.1016/j.media.2015.08.009
Abstract: Atlases encode valuable anatomical and functional information from a population. In this work, a bi-ventricular cardiac atlas was built from a unique data set, which consists of high resolution cardiac MR images of 1000+ normal subjects. Based on the atlas, statistical methods were used to study the variation of cardiac shapes and the distribution of cardiac motion across the spatio-temporal domain. We have shown how statistical parametric mapping (SPM) can be combined with a general linear model to study the impact of gender and age on regional myocardial wall thickness. Finally, we have also investigated the influence of the population size on atlas construction and atlas-based analysis. The high resolution atlas, the statistical models and the SPM method will benefit more studies on cardiac anatomy and function analysis in the future. � 2015 Elsevier B.V.
Source Title: Medical Image Analysis
URI: http://scholarbank.nus.edu.sg/handle/10635/149250
ISSN: 13618415
DOI: 10.1016/j.media.2015.08.009
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