Magnetic Resonance Spectroscopy

Novel water suppression techniques for MRS signals

​​The accepted abstract will be presented by Abderrazak Chahid at 34th Annual Scientific Meeting ESMRMB 2017 CONGRESS, to be held on October 19-21 in Barcelona, Spain. Abderrazak will present the results of his work on water suppression technique. The novel proposed method is based on the Semi-Classical Signal Analysis (SCSA) of the Magnetic Resonance Spectroscopy (MRS) in vivo. The MRS signal is usually dominated by the water peaks, 1000 times stronger comparing to other signals of interest, which limits the detection and quantification of the small metabolites.

 The novel proposed method is based on Semi-Classical Signal Analysis (SCSA). The later decomposes the unsuppressed water MRS spectrum into a set of eigenfunctions of the Schrodinger operator and extract those belonging to the water peak. The SCSA method uses a parameter h to separate between useful information (metabolites: NAA, Lactate..) and noise ( the water peak) throughout the MRS signal.


Fig: Water pulse recovered using SCSA, Nh=44

The obtained results above, show that the proposed method suppresses considerably the water pulse while preserving the other small peaks with small distortion.

Reference :

Abderrazak Chahid, Hacene Serrai, Eric Achten, Taous-Meriem Laleg-Kirati, “Magnetic Resonance Spectroscopy data water suppression using squared eigenfunctions of the Schrodinger operator," accepted in ESMRMB2017, Spain, 2017.