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MRSI data unmixing using spatial and spectral priors in transformed domains

Laruelo, Andrea and Chaari, Lotfi and Ken, Soleakhena and Tourneret, Jean-Yves and Batatia, Hadj and Laprie, Anne MRSI data unmixing using spatial and spectral priors in transformed domains. (2016) In: 13th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2016), 13 April 2016 - 16 April 2016 (Prague, Czech Republic).

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Official URL: http://dx.doi.org/10.1109/ISBI.2016.7493422


In high-grade gliomas, the tumor boundaries and the degree of infiltration are difficult to define due to their heterogeneous composition and diffuse growth pattern. Magnetic Resonance Spectroscopic Imaging (MRSI) is a non-invasive technique able to provide information on brain tumor biology not available from conventional anatomical imaging. In this paper we propose a blind source separation (BSS) algorithm for brain tissue classification and visualization of tumor spread using MRSI data. The proposed algorithm imposes relaxed non-negativity in the direct domain along with spatial-spectral regularizations in a transformed domain. The optimization problem is efficiently solved in a two-step approach using the concept of proximity operators. Vertex component analysis (VCA) is proposed to estimate the number of sources. Comparisons with state-of-the-art BSS algorithms on in-vivo MRSI data show the efficiency of the proposed algorithm. The presented method provides patterns that can easily be related to a specific tissue (normal, tumor, necrosis, hypoxia, edema or infiltration). Unlike other BSS methods dedicated to MRSI data, it can handle spectra with negative peaks and results are not sensitive to the initialization strategy. In addition, it is robust against noisy or bad-quality spectra.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org This papers appears in Proceedings of ISBI 2016. Electronic ISBN: 978-1-4799-2349-6 Electronic ISSN: 1945-8452 The original PDF of the article can be found at: http://ieeexplore.ieee.org/document/7493422/ Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-01491210
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (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)
Other partners > Université de Sfax (TUNISIA)
Laboratory name:
Deposited On:01 Mar 2017 14:59

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