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Poster De Conférence Année : 2018

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.
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Dates et versions

hal-01916177 , version 1 (08-11-2018)

Identifiants

  • HAL Id : hal-01916177 , version 1

Citer

Mathieu Naudin, Benoit Tremblais, Carole Guillevin, Remy Guillevin, Christine Fernandez-Maloigne. Spectral denoising for MR Spectroscopy using orthogonal polynomials. International Society for Magnetic Resonance in Medicine, Jun 2018, Paris, France. ⟨hal-01916177⟩
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