A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning.
Leonardo RundoAlessandro StefanoCarmelo MilitelloGiorgio RussoMaria Gabriella SabiniCorrado D'ArrigoFrancesco MarlettaMassimo IppolitoGiancarlo MauriSalvatore VitabileMaria Carla GilardiPublished in: Comput. Methods Programs Biomed. (2017)
Keyphrases
- fully automatic
- treatment planning
- imaging modalities
- image segmentation
- low contrast
- pet images
- pet ct
- clinical applications
- ct images
- medical images
- medical imaging
- magnetic resonance
- positron emission tomography
- bone segmentation
- texture image segmentation
- semi automatic
- image guided
- deformable models
- fully automated
- accurate segmentation
- mr images
- computer aided
- medical image analysis
- computed tomography
- image registration
- radiation therapy
- mri data
- mri images
- segmentation algorithm
- ct scans
- region growing
- markov random field
- automated segmentation
- image processing
- partial volume
- medical data
- active contours
- magnetic resonance imaging
- image analysis
- region of interest
- graph cuts
- anatomical structures
- magnetic resonance images
- image reconstruction
- left ventricle
- shape prior
- level set
- x ray
- segmentation result
- respiratory motion
- manual segmentation
- segmentation method
- three dimensional
- remote sensing
- computer aided diagnosis