A user independent denoising method for x-nuclei MRI and MRS

Nichlas Vous Christensen*, Michael Vaeggemose, Nikolaj Bøgh, Esben S S Hansen, Jonas L Olesen, Yaewon Kim, Daniel B Vigneron, Jeremy W Gordon, Sune N Jespersen, Christoffer Laustsen

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

Abstract

PURPOSE: X-nuclei (also called non-proton MRI) MRI and spectroscopy are limited by the intrinsic low SNR as compared to conventional proton imaging. Clinical translation of x-nuclei examination warrants the need of a robust and versatile tool improving image quality for diagnostic use. In this work, we compare a novel denoising method with fewer inputs to the current state-of-the-art denoising method.

METHODS: Denoising approaches were compared on human acquisitions of sodium ( 23 Na) brain, deuterium ( 2 H) brain, carbon ( 13 C) heart and brain, and simulated dynamic hyperpolarized 13 C brain scans, with and without additional noise. The current state-of-the-art denoising method Global-local higher order singular value decomposition (GL-HOSVD) was compared to the few-input method tensor Marchenko-Pastur principal component analysis (tMPPCA). Noise-removal was quantified by residual distributions, and statistical analyses evaluated the differences in mean-square-error and Bland-Altman analysis to quantify agreement between original and denoised results of noise-added data.

RESULTS: GL-HOSVD and tMPPCA showed similar performance for the variety of x-nuclei data analyzed in this work, with tMPPCA removing ˜5% more noise on average over GL-HOSVD. The mean ratio between noise-added and denoising reproducibility coefficients of the Bland-Altman analysis when compared to the original are also similar for the two methods with 3.09 ± 1.03 and 2.83 ± 0.79 for GL-HOSVD and tMPPCA, respectively.

CONCLUSION: The strength of tMPPCA lies in the few-input approach, which generalizes well to different data sources. This makes the use of tMPPCA denoising a robust and versatile tool in x-nuclei imaging improvements and the preferred denoising method.

OriginalsprogEngelsk
TidsskriftMagnetic Resonance in Medicine
Vol/bind90
Nummer6
Sider (fra-til)2539-2556
Antal sider19
ISSN0740-3194
DOI
StatusUdgivet - dec. 2023

Emneord

  • Deuterium
  • Hyperpolarisation
  • MRI
  • carbon-13

Fingeraftryk

Dyk ned i forskningsemnerne om 'A user independent denoising method for x-nuclei MRI and MRS'. Sammen danner de et unikt fingeraftryk.

Citationsformater