High-fidelity image deconvolution for low-dose cerebral perfusion CT imaging via low-rank and total variation regularizations.
Shanli ZhangDong ZengShanzhou NiuHoujin ZhangHuanqi XuSui LiShijun QiuJianhua MaPublished in: Neurocomputing (2019)
Keyphrases
- low dose
- low rank
- total variation
- minimization problems
- convex optimization
- image deblurring
- computer tomography
- image restoration
- ct scans
- computed tomography
- x ray
- denoising
- regularization term
- image denoising
- ct images
- medical images
- imaging modalities
- blurred images
- image processing
- linear combination
- medical imaging
- clinical applications
- contrast enhancement
- missing data
- region of interest
- image reconstruction
- regularization parameter
- edge preserving
- markov random field
- magnetic resonance imaging
- semi supervised
- high quality
- gaussian noise
- computer aided diagnosis
- natural images
- super resolution
- noise removal
- intraoperative
- noisy images
- mumford shah
- image quality