A novel 3D graph cut based co-segmentation of lung tumor on PET-CT images with Gaussian mixture models.
Kai YuXinjian ChenFei ShiWeifang ZhuBin ZhangDehui XiangPublished in: Medical Imaging: Image Processing (2016)
Keyphrases
- ct images
- pet ct
- gaussian mixture model
- treatment planning
- pet images
- medical images
- computed tomography
- mixture model
- lymph nodes
- medical imaging
- ct scans
- positron emission tomography
- lung cancer
- lung parenchyma
- lung nodules
- fracture detection
- em algorithm
- graph cuts
- expectation maximization
- ground glass opacity
- radiation therapy
- shape prior
- computer tomography
- contrast enhanced
- feature vectors
- computer aided
- imaging modalities
- maximum likelihood
- markov random field
- cancer diagnosis
- pulmonary nodules
- region of interest
- automated segmentation
- maximum likelihood criterion
- magnetic resonance imaging
- clinical applications
- breast cancer
- energy function
- image analysis
- image segmentation
- image processing
- image reconstruction
- segmentation method
- feature space