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Abstract #2286

Matlab Tool for   Residual Water Suppression and Denoising of MRS Signal using the Schrodinger operator

Abderrazak Chahid1, Sourav Bhaduri2, Eric Achten2, Taous-Meriem Laleg-Kirati1, and Hacene Serrai 2,3

1King Abdullah University of Sciences and Technology (KAUST), Thuwal, Saudi Arabia, 2Department of Radiology and Nuclear Medicine, University of Ghent, Gent, Belgium, 3Robarts Research Institute, University of Western Ontario, London, ON, ON, Canada

A new user interactive platform for MRS data processing is proposed. This toolbox is based on the Semi-Classical Signal Analysis (SCSA) for Residual Water Suppression and MRS signal denoising. It allows MRS users to achieve water suppression and data denoising, with data fitting as an additional feature. The toolbox is easy to install and to use: 1) visualization of spectroscopy data, 2) water suppression and denoising, 3) iterative data fitting using nonlinear least squares. This abstract demonstrates how each of these features has been incorporated and provides technical details about the implementation as a graphical user interface in MATLAB.

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