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Abstract #1322

Spectral denoising for MR Spectroscopy using orthogonal polynomials

Mathieu Naudin1,2,3, Benoit Tremblais1, Carole Guillevin2, Rémy Guillevin2, and Christine Fernandez-Maloigne1

1Univ. Poitiers, XLIM, CNRS UMR 7252, Poitiers, France, 2Univ. Poitiers, LMA, CHU Poitiers, CNRS UMR 7348, Poitiers, France, 3Siemens Healthineers, Saint-Denis, France

We propose a new methodology to denoise MRS spectrum with a focus on the acquisition time diminution. Using a discrete orthogonal polynomials, we detect two types of areas : homogenous and non-homogenous (metabolite peaks). Once these areas detected, we compute the Noise Level Function (NLF). Then, using the NLF, we use orthogonal polynomials to reconstruct a signal with a strategy for each type of area. As results, a denoising method is provided and it helps to correct the noise due to the acquisition time diminution with a good metabolite peaks conservation.

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