Spectral denoising for MR Spectroscopy using orthogonal polynomials
Résumé
We propose a new methodology to denoise MRS spectrum with a focus on the acquisition time diminution. Using orthogonal moments, we
detect two types of areas : homogenous and non-homogenous (metabolite peaks). Once detected, we compute the Noise Level Function. Then,
using the NLF we use Legendre orthogonal polynomials to reconstruct 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.