Regularized spatiotemporal deconvolution of fMRI data using gray-matter constrained total variation.
Younes FaroujFikret Isik KarahanogluDimitri Van De VillePublished in: ISBI (2017)
Keyphrases
- total variation
- image restoration
- denoising
- blind deconvolution
- gray matter
- regularization methods
- white matter
- total least squares
- image deblurring
- regularization method
- image denoising
- restored image
- soft thresholding
- magnetic resonance images
- least squares
- convex optimization
- human brain
- noisy images
- regularization term
- blurred images
- image processing
- magnetic resonance
- mr images
- edge preserving
- point spread function
- super resolution
- inverse problems
- mri data
- natural images
- brain tissue
- regularization parameter
- markov random field
- motion blur
- moving objects
- computer vision
- spatially varying
- diffusion tensor imaging
- regularized least squares
- high resolution
- objective function