Ultra-low Dose CT Image Denoising based on Conditional Denoising Diffusion Probabilistic model.
Qiwei LiChen LiChenggong YanXiaomei LiHaixia LiTianjing ZhangHui SongRoman SchaffertWeimin YuYu FanJianwei YeHao ChenPublished in: CyberC (2022)
Keyphrases
- low dose
- image denoising
- denoising
- probabilistic model
- nonlinear diffusion
- x ray
- computed tomography
- ct scans
- noisy images
- total variation
- partial differential equations
- lung nodules
- imaging modalities
- anisotropic diffusion
- natural images
- computer tomography
- wavelet domain
- ct images
- image processing
- contrast enhancement
- medical images
- denoising algorithm
- denoising methods
- three dimensional
- bayesian networks
- medical imaging
- noise removal
- nonlocal means
- image reconstruction
- wavelet packet
- wavelet denoising
- intraoperative
- gaussian noise
- diffusion equation
- x ray images
- undecimated wavelet transform
- clinical applications
- anatomical structures
- image analysis
- wavelet shrinkage
- computational complexity
- image enhancement
- visual quality