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

• Published in: Medical image analysis Vol. 26; no. 1; pp. 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: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.12.2015
• 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; Cardiac atlas; Statistical shape model; Statistical parametric mapping; Statistical motion model
• ISSN: 1361-8415; 1361-8423
• DOI: 10.1016/j.media.2015.08.009

•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.