3D segmentation of the ascending and descending aorta from CT data via graph-cuts.
Jungwon ChaAlex HennMarcus F. StoddardAmir A. AminiPublished in: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018)
Keyphrases
- graph cuts
- ct data
- segmentation algorithm
- automatic segmentation
- ct volume
- shape prior
- energy function
- interactive segmentation
- object segmentation
- image segmentation
- random walker
- energy minimization
- medical images
- region growing
- markov random field
- accurate segmentation
- patient specific
- ct scans
- ct images
- probabilistic atlas
- statistical shape model
- multi label
- computed tomography
- pre operative
- coronary artery
- intraoperative
- volume rendering
- mean shift
- segmentation result
- x ray
- active shape model
- segmentation method
- ground truth
- labeling problems
- contrast enhanced
- multiscale
- medical imaging
- shape model
- segmentation accuracy
- prior information
- object boundaries
- fully automatic
- level set
- image guided
- shape variations
- active contours
- image processing