title: A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion.
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.
authors.affiliation: Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK. Electronic address: w.bai@imperial.ac.uk.
authors.forename: Wenjia
authors.initials: W
authors.lastname: Bai
authors.affiliation: Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK.
authors.forename: Wenzhe
authors.initials: W
authors.lastname: Shi
authors.affiliation: MRC Clinical Sciences Centre, Hammersmith Hospital, Imperial College London, UK.
authors.forename: Antonio
authors.initials: A
authors.lastname: de Marvao
authors.affiliation: MRC Clinical Sciences Centre, Hammersmith Hospital, Imperial College London, UK.
authors.forename: Timothy J W
authors.initials: TJ
authors.lastname: Dawes
authors.affiliation: MRC Clinical Sciences Centre, Hammersmith Hospital, Imperial College London, UK.
authors.forename: Declan P
authors.initials: DP
authors.lastname: O'Regan
authors.affiliation: MRC Clinical Sciences Centre, Hammersmith Hospital, Imperial College London, UK; National Heart Centre Singapore, Singapore, Duke-NUS Graduate Medical School, Singapore.
authors.forename: Stuart A
authors.initials: SA
authors.lastname: Cook
authors.affiliation: Biomedical Image Analysis Group, Department of Computing, Imperial College London, UK.
authors.forename: Daniel
authors.initials: D
authors.lastname: Rueckert
mesh_terms: D003198:Computer Simulation; D016208:Databases, Factual; D006352:Heart Ventricles / Q000033:anatomy & histology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D008953:Models, Anatomic; D008955:Models, Cardiovascular; D015233:Models, Statistical; D010363:Pattern Recognition, Automated / Q000379:methods*; D011873:Radiology Information Systems / Q000458:organization & administration*; D012016:Reference Values; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique
keywords: Cardiac atlas; Statistical motion model; Statistical parametric mapping; Statistical shape model