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Spatio-spectral regularization to improve magnetic resonance spectroscopic imaging quantification

Laruelo, Andrea and Chaari, Lotfi and Tourneret, Jean-Yves and Batatia, Hadj and Ken, Soleakhena and Rowland, Ben and Ferrand, Régis and Laprie, Anne Spatio-spectral regularization to improve magnetic resonance spectroscopic imaging quantification. (2016) NMR in Biomedicine, 129 (7). 918-931. ISSN 0952-3480

(Document in English)

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Official URL: http://dx.doi.org/10.1002/nbm.3532


Magnetic resonance spectroscopic imaging (MRSI) is a non-invasive technique able to provide the spatial distribu- tion 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 require- ment 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 pres- ence 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 quan- tify all signals simultaneously in the MRSI grid, while introducing prior information, a fast proximal optimization al- gorithm 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.

Item Type:Article
Additional Information:Thanks to Wiley editor . The definitive version is available at http://onlinelibrary.wiley.com/ The original PDF of the article can be found at http://onlinelibrary.wiley.com/doi/10.1002/nbm.3532/full
HAL Id:hal-01381730
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
French research institutions > Institut National de la Santé et de la Recherche Médicale - INSERM (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Institut Claudius Regaud - ICR (FRANCE)
Laboratory name:
Deposited On:30 Sep 2016 07:38

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