Imperial College London

ProfessorDanielRueckert

Faculty of EngineeringDepartment of Computing

Head of Department of Computing
 
 
 
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Contact

 

+44 (0)20 7594 8333d.rueckert Website

 
 
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Location

 

568Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Bai:2015:10.1016/j.media.2015.08.009,
author = {Bai, W and Shi, W and de, Marvao A and Dawes, TJW and O'Regan, DP and Cook, SA and Rueckert, D},
doi = {10.1016/j.media.2015.08.009},
journal = {Medical Image Analysis},
pages = {133--145},
title = {A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion},
url = {http://dx.doi.org/10.1016/j.media.2015.08.009},
volume = {26},
year = {2015}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - 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.
AU - Bai,W
AU - Shi,W
AU - de,Marvao A
AU - Dawes,TJW
AU - O'Regan,DP
AU - Cook,SA
AU - Rueckert,D
DO - 10.1016/j.media.2015.08.009
EP - 145
PY - 2015///
SN - 1361-8423
SP - 133
TI - A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion
T2 - Medical Image Analysis
UR - http://dx.doi.org/10.1016/j.media.2015.08.009
UR - http://hdl.handle.net/10044/1/26130
VL - 26
ER -