Hamy, V;
Dikaios, N;
Punwani, S;
Melbourne, A;
Latifoltojar, A;
Makanyanga, J;
Chouhan, M;
... Atkinson, D; + view all
(2014)
Respiratory motion correction in dynamic MRI using robust data decomposition registration - Application to DCE-MRI.
Med Image Anal
, 18
(2)
301 - 313.
10.1016/j.media.2013.10.016.
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Abstract
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 (AUC60) at early enhancement.
| Type: | Article |
|---|---|
| Title: | Respiratory motion correction in dynamic MRI using robust data decomposition registration - Application to DCE-MRI. |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.media.2013.10.016 |
| Publisher version: | http://dx.doi.org/10.1016/j.media.2013.10.016 |
| Additional information: | �© 2013 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/). |
| Keywords: | AUC, DCE-MRI, DCT, Dynamic contrast-enhanced MRI, FFD, GT, NMI, PCA, PPCR, RC, RDDR, RMSE, ROI, RPCA, Registration, Respiratory motion correction, Robust principal component analysis, TIC, area under the curve, discrete cosine transform, dynamic contrast enhanced magnetic resonance imaging, free-form deformation, ground truth, normalized mutual information, principal component analysis, progressive principal component registration, region of interest, residual complexity, robust data decomposition registration, robust principal component analysis, root mean squared error, time–intensity curve |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Experimental and Translational Medicine UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1413004 |
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