Machine Learned Texture Prior From Full-Dose CT Database via Multi-Modality Feature Selection for Bayesian Reconstruction of Low-Dose CT.
Yongfeng GaoJiaxing TanYongyi ShiHao ZhangSiming LuAmit GuptaHaifang LiMichael ReiterZhengrong LiangPublished in: IEEE Trans. Medical Imaging (2023)
Keyphrases
- low dose
- multi modality
- imaging modalities
- medical images
- computer tomography
- computed tomography
- ionizing radiation
- x ray
- feature selection
- ct scans
- medical imaging
- dual energy
- ct images
- image reconstruction
- lung nodules
- low contrast
- three dimensional
- medical image analysis
- clinical applications
- multi modal
- contrast enhancement
- medical data
- ct data
- mutual information
- positron emission tomography
- mr images
- image guided
- treatment planning
- intraoperative
- medical diagnosis
- anatomical structures
- deformable models
- machine learning
- image analysis
- information theoretic
- computer aided diagnosis
- magnetic resonance
- clinical trials
- high resolution
- computer vision
- feature extraction
- pattern recognition
- graph cuts
- gray level
- texture features
- shape model
- region of interest
- x ray images