Lung tumor delineation in PET-CT images using a downhill region growing and a Gaussian mixture model.
Cherry G. BallanganXiuying WangMichael J. FulhamStefan EberlDavid Dagan FengPublished in: ICIP (2011)
Keyphrases
- gaussian mixture model
- region growing
- ct images
- pet ct
- treatment planning
- pet images
- computed tomography
- image segmentation
- mixture model
- medical images
- ct scans
- medical imaging
- segmentation method
- edge detection
- segmentation algorithm
- expectation maximization
- segmentation result
- em algorithm
- cancer diagnosis
- lung cancer
- vessel segmentation
- feature vectors
- radiation therapy
- imaging modalities
- maximum likelihood
- lymph nodes
- contrast enhanced
- lung parenchyma
- pulmonary nodules
- region of interest
- feature space
- ct data
- positron emission tomography
- accurate segmentation
- probabilistic model
- image guided
- magnetic resonance
- level set
- magnetic resonance images
- magnetic resonance imaging
- generative model
- image processing