Evaluating the impact of denoising diffusion MRI data on tractometry metrics of optic tract abnormalities in glaucoma.

ABSTRACT: Diffusion MRI (dMRI)-based tractometry is a non-invasive neuroimaging method for evaluating white matter tracts in living humans, capable of detecting abnormalities caused by disorders. However, measurement noise in dMRI data often compromises the signal quality. Several denoising methods for dMRI have been proposed, but the extent to which denoising affects tractometry metrics of white matter tissue properties associated with disorders remains unclear. We evaluated how denoising affects tractometry along the optic tract (OT) in patients with glaucoma. Because glaucoma damages retinal ganglion cells, the OT in patients with glaucoma is likely to exhibit tissue abnormalities. Therefore, we examined dMRI data from patients with glaucoma to evaluate how two widely used denoising methods (MPPC

SUBMITTER: Taguma D 

PROVIDER: S-EPMC12267541 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature