Low-dose cerebral perfusion computed tomography image restoration via low-rank and total variation regularizations.
Shanzhou NiuShanli ZhangJing HuangZhaoying BianWufan ChenGaohang YuZhengrong LiangJianhua MaPublished in: Neurocomputing (2016)
Keyphrases
- low dose
- total variation
- image restoration
- computed tomography
- low rank
- convex optimization
- minimization problems
- ct images
- image reconstruction
- super resolution
- medical images
- ct scans
- medical imaging
- regularization term
- three dimensional
- edge preserving
- image processing
- markov random field
- image deblurring
- ct data
- regularization parameter
- linear combination
- blurred images
- x ray
- regularization methods
- semi supervised
- missing data
- higher order
- high dimensional data
- high resolution
- image registration
- magnetic resonance images
- image analysis
- gaussian noise
- least squares
- mumford shah
- image segmentation