Denoising Diffusion MRI: Considerations and implications for analysis.

ABSTRACT: Development of diffusion MRI (dMRI) denoising approaches has experienced considerable growth over the last years. As noise can inherently reduce accuracy and precision in measurements, its effects have been well characterised both in terms of uncertainty increase in dMRI-derived features and in terms of biases caused by the noise floor, the smallest measurable signal given the noise level. However, gaps in our knowledge still exist in objectively characterising dMRI denoising approaches in terms of both of these effects and assessing their efficacy. In this work, we reconsider what a denoising method should and should not do and we accordingly define criteria to characterise the performance. We propose a comprehensive set of evaluations, including i) benefits in improving signal quality an

SUBMITTER: Manzano-Patron JP 

PROVIDER: S-EPMC10402048 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature