Denoising of diffusion magnetic resonance images using a modified and differentiable Monge-Kantorovich distance for measure-valued functions.
Davide La TorreJ. MarcouxFranklin MendivilEdward R. VrscayPublished in: Commun. Nonlinear Sci. Numer. Simul. (2020)
Keyphrases
- magnetic resonance images
- denoising
- diffusion weighted
- distance measure
- mr images
- medical images
- nonlinear diffusion
- image denoising
- white matter
- diffusion tensor
- similarity measure
- magnetic resonance imaging
- medical imaging
- brain tissue
- brain mri
- kullback leibler divergence
- image processing
- tensor field
- brain tumors
- multiple sclerosis lesions
- partial volume
- noise removal
- mri data
- anisotropic diffusion
- total variation
- high resolution
- diffusion mri
- magnetic resonance
- tissue segmentation
- gaussian noise
- image data
- high quality
- brain structures
- markov random field
- remote sensing
- bias field
- diffusion coefficient