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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
Spatio-spectral regularization to improve magnetic resonance spectroscopic imaging quantification
NMR in Biomedicine, Volume 29, No. 7, Year 2016
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Description
Magnetic resonance spectroscopic imaging (MRSI) is a non-invasive technique able to provide the spatial distribution of relevant biochemical compounds commonly used as biomarkers of disease. Information provided by MRSI can be used as a valuable insight for the diagnosis, treatment and follow-up of several diseases such as cancer or neurological disorders. Obtaining accurate metabolite concentrations from in vivo MRSI signals is a crucial requirement for the clinical utility of this technique. Despite the numerous publications on the topic, accurate quantification is still a challenging problem due to the low signal-to-noise ratio of the data, overlap of spectral lines and the presence of nuisance components. We propose a novel quantification method, which alleviates these limitations by exploiting a spatio-spectral regularization scheme. In contrast to previous methods, the regularization terms are not expressed directly on the parameters being sought, but on appropriate transformed domains. In order to quantify all signals simultaneously in the MRSI grid, while introducing prior information, a fast proximal optimization algorithm is proposed. Experiments on synthetic MRSI data demonstrate that the error in the estimated metabolite concentrations is reduced by a mean of 41% with the proposed scheme. Results on in vivo brain MRSI data show the benefit of the proposed approach, which is able to fit overlapping peaks correctly and to capture metabolites that are missed by single-voxel methods due to their lower concentrations. Copyright © 2016 John Wiley & Sons, Ltd.
Authors & Co-Authors
Laruelo, Andrea
France, Toulouse
Institut Claudius Regaud
France, Toulouse
Institut National Polytechnique de Toulouse
Chaari, Lotfi
France, Toulouse
Institut National Polytechnique de Toulouse
Tunisia, Sfax
University of Sfax
Tourneret, Jean Yves
France, Toulouse
Institut National Polytechnique de Toulouse
Batatia, Hadj
France, Toulouse
Institut National Polytechnique de Toulouse
Ken, Soléakhéna
France, Toulouse
Institut Claudius Regaud
France, Toulouse
Toulouse Neuro Imaging Center
Rowland, Ben
France, Toulouse
Institut Claudius Regaud
Ferrand, Régis
France, Toulouse
Institut Claudius Regaud
Laprie, Anne
France, Toulouse
Institut Claudius Regaud
France, Toulouse
Université Toulouse Iii - Paul Sabatier
France, Toulouse
Toulouse Neuro Imaging Center
Statistics
Citations: 8
Authors: 8
Affiliations: 5
Identifiers
Doi:
10.1002/nbm.3532
e-ISSN:
10991492
Research Areas
Cancer
Study Design
Cohort Study