3D segmentation of the true and false lumens on CT aortic dissection images.
Nawel FetnaciPawel LubniewskiBruno MiguelChristophe LohouPublished in: Three-Dimensional Image Processing (3DIP) and Applications (2013)
Keyphrases
- image slices
- segmentation algorithm
- mri images
- quantitative evaluation
- segmentation method
- image analysis
- test images
- medical images
- three dimensional
- mri brain
- input image
- ct volume
- image regions
- image segmentation
- brain mri
- segmentation errors
- image data
- automated segmentation
- accurate segmentation
- level set
- computer tomography
- ground truth
- white blood
- image registration
- edge detection
- clinical applications
- medical imaging
- magnetic resonance
- region of interest
- fully automatic
- image features
- x ray
- ct images
- microscopy images
- multiscale
- contrast enhanced
- brain tumors
- intensity distribution
- segmented images
- ct scans
- coronary artery
- multislice
- segmentation accuracy
- inter patient
- patient specific
- lymph nodes
- positron emission tomography
- atlas based segmentation
- image volumes
- micro ct
- ct and mr images