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A bi-ventricular cardiac atlas built from 1000+ high resolution MR images of healthy subjects and an analysis of shape and motion
Open accessAbstract
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.
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Metadata
- Authors
- Bai, W., Shi, W., de Marvao, A., Dawes, T. J. W., O’Regan, D. P., Cook, S. A., & Rueckert, D.
- Affiliations
- Imperial College London (GB)
- Hammersmith Hospital (GB)
- National University of Singapore (SG)
- Corresponding author
- Bai, Wenjia
- Venue
- Medical Image Analysis
- Publisher
- Elsevier BV
- Published
- 2015-12
- Volume
- 26
- Issue
- 1
- Pages
- 133-145
- ISSN
- 1361-8415 (ISSN-L)
- OpenAlex
- W1872336954
- Cited by
- 171
- References
- 79
- Citations by year
- 2026: 18 · 2025: 21 · 2024: 12 · 2023: 20 · 2022: 15 · 2021: 13 · 2020: 16 · 2019: 20 · 2018: 16 · 2017: 13 · 2016: 7
- FWCI
- 10.42
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- cc-by-nc-nd
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Medical Image Analysis (publishedVersion)
- PubMed (publishedVersion)
- National University of Singapore (submittedVersion)
- Spiral (Imperial College London) (submittedVersion, cc-by-nc-nd)
- Funders
- Engineering and Physical Sciences Research Council (EPSRC), UK (EP/K030523/1)
- Medical Research Council (MRC), UK
- National Institute for Health Research
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Cardiac Imaging and Diagnostics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- cardiac motion, statistical parametric mapping, myocardial wall thickness, age and gender effects, population size, atlas construction, healthy volunteers
- MeSH terms
- Computer Simulation, Heart Ventricles, Humans, Image Interpretation, Computer-Assisted, Models, Anatomic, Models, Cardiovascular, Pattern Recognition, Automated, Radiology Information Systems, Reference Values, Sensitivity and Specificity, Subtraction Technique, Reproducibility of Results, Models, Statistical, Databases, Factual, Magnetic Resonance Imaging, Cine
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