A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion

•Constructed a cardiac atlas from 1000+ MR images.•Images from a unique data set with high resolution and image consistency.•Shape, motion and wall thickness analysis based on the atlas.•Translated SPM from neuroimaging to cardiac imaging.•Investigated impact of population size on atlas and atlas-ba...

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Bibliographic Details
Published in:Medical image analysis 2015-12, Vol.26 (1), p.133-145
Main Authors: Bai, Wenjia, Shi, Wenzhe, de Marvao, Antonio, Dawes, Timothy J.W., O’Regan, Declan P., Cook, Stuart A., Rueckert, Daniel
Format: Article
Language:English
Subjects:
Cardiac atlas
Computer Simulation
Databases, Factual
Heart Ventricles - anatomy & histology
Humans
Image Interpretation, Computer-Assisted - methods
Magnetic Resonance Imaging, Cine - methods
Models, Anatomic
Models, Cardiovascular
Models, Statistical
Pattern Recognition, Automated - methods
Radiology Information Systems - organization & administration
Reference Values
Reproducibility of Results
Sensitivity and Specificity
Statistical motion model
Statistical parametric mapping
Statistical shape model
Subtraction Technique
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Summary:•Constructed a cardiac atlas from 1000+ MR images.•Images from a unique data set with high resolution and image consistency.•Shape, motion and wall thickness analysis based on the atlas.•Translated SPM from neuroimaging to cardiac imaging.•Investigated impact of population size on atlas and atlas-based analysis. [Display omitted] 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.
ISSN:1361-8415
1361-8423
DOI:10.1016/j.media.2015.08.009