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Motion and contrast enhancement separation model reconstruction from partial measurements in dynamic MRI

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. Green open access

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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
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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