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: IEEE Trans. Computational Imaging (2016)
Keyphrases
- iterative reconstruction
- gaussian mixture
- low dose
- computer tomography
- imaging modalities
- x ray
- medical images
- ct scans
- markov random field
- ct images
- em algorithm
- medical imaging
- clinical applications
- probability density function
- medical diagnosis
- gaussian mixture model
- expectation maximization
- density estimation
- closed form
- covariance matrix
- computed tomography
- graph cuts
- magnetic resonance imaging
- positron emission tomography
- image segmentation
- ct data
- medical image analysis
- anatomical structures
- mixture model
- low contrast
- contrast enhancement
- multislice
- image guided
- surgical procedures
- computer aided diagnosis
- clinical trials
- image reconstruction
- medical data
- automatic segmentation
- energy function
- maximum likelihood
- multiscale
- image processing