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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