Tremoulheac, B;
Atkinson, D;
Arridge, SR;
(2012)
Motion and contrast enhancement separation model reconstruction from partial measurements in dynamic MRI.
In:
Proceedings of the MICCAI Workshop on Sparsity Techniques in Medical Imaging.
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Abstract
We propose a motion and contrast enhancement separation model in dynamic magnetic resonance imaging (MRI). Furthermore, the reconstruction is done from partial measurements to achieve faster dynamic MR imaging. The algorithm minimizes a linear combination of three terms, a data fitting functional and two regularization functionals corresponding to the nuclear and ℓ1 norm. The proposed method is tested on simulated and real dynamic datasets. This paper suggests an image reconstruction model that directly induces clinically-relevant informations from partial measurements.
Type: | Proceedings paper |
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Title: | Motion and contrast enhancement separation model reconstruction from partial measurements in dynamic MRI |
Event: | MICCAI Workshop on Sparsity Techniques in Medical Imaging |
Location: | Nice, France |
Dates: | 01 October 2012 - 05 October 2012 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | http://www.miccai2012.org/ |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Low-rank plus sparse model, dynamic MRI, motion, undersampling, split Bregman-based method |
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 > 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 Computer Science |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1371089 |
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