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

dc.contributor.author	Bhaduri, Sourav
dc.contributor.author	Achten, Eric
dc.contributor.author	Serrai, Hacene
dc.contributor.author	Chahid, Abderrazak
dc.contributor.author	Laleg-Kirati, Taous-Meriem
dc.date.accessioned	2019-06-09T11:20:41Z
dc.date.available	2019-06-09T11:20:41Z
dc.date.issued	2019
dc.identifier.uri	http://hdl.handle.net/10754/655507
dc.description.abstract	A new user interactive platform for MRS data processing is proposed. This toolbox is based on the SemiClassical 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.
dc.title	Matlab Tool for Residual Water Suppression and Denoising of MRS Signal using the Schrodinger operator
dc.type	Poster
dc.contributor.department	Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.conference.date	May 11, 2019 - May 16, 2019
dc.conference.location	Montréal, QC, Canada
dc.contributor.institution	University of Ghent
dc.contributor.institution	University of Western Ontario
refterms.dateFOA	2019-06-09T11:20:42Z

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