期刊
MEDICAL IMAGE ANALYSIS
卷 18, 期 2, 页码 301-313出版社
ELSEVIER
DOI: 10.1016/j.media.2013.10.016
关键词
Registration; Respiratory motion correction; Dynamic contrast-enhanced MRI; Robust principal component analysis
类别
资金
- National Institute for Health Research University College London Hospitals Biomedical Research Centre
- EPSRC [EP/H046410/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/H046410/1] Funding Source: researchfish
- National Institute for Health Research [ACF-2008-18-007] Funding Source: researchfish
Motion correction in Dynamic Contrast Enhanced (DCE-) MRI is challenging because rapid intensity changes can compromise common (intensity based) registration algorithms. In this study we introduce a novel registration technique based on robust principal component analysis (RPCA) to decompose a given time-series into a low rank and a sparse component. This allows robust separation of motion components that can be registered, from intensity variations that are left unchanged. This Robust Data Decomposition Registration (RDDR) is demonstrated on both simulated and a wide range of clinical data. Robustness to different types of motion and breathing choices during acquisition is demonstrated for a variety of imaged organs including liver, small bowel and prostate. The analysis of clinically relevant regions of interest showed both a decrease of error (15-62% reduction following registration) in tissue time-intensity curves and improved areas under the curve (AUC(60)) at early enhancement. (C) 2013 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license
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