A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT.
Ruoqiao ZhangDong Hye YeDebashish PalJean-Baptiste ThibaultKen D. SauerCharles A. BoumanPublished in: CoRR (2016)
Keyphrases
- iterative reconstruction
- gaussian mixture
- low dose
- computer tomography
- imaging modalities
- x ray
- medical images
- markov random field
- ct scans
- ct images
- em algorithm
- expectation maximization
- gaussian mixture model
- medical imaging
- medical diagnosis
- covariance matrix
- closed form
- graph cuts
- mixture model
- probability density function
- computed tomography
- medical image analysis
- image segmentation
- clinical applications
- density estimation
- multislice
- positron emission tomography
- magnetic resonance imaging
- low contrast
- energy function
- medical data
- ct data
- three dimensional
- image guided
- anatomical structures
- deformable models
- contrast enhancement
- semi automatic
- x ray images
- maximum likelihood
- rigid registration
- pattern recognition
- computer vision