Aorta and pulmonary artery segmentation using optimal surface graph cuts in non-contrast CT.
Zahra Sedghi GamechiAndrés M. Arias LorzaJesper Holst PedersenMarleen de BruijnePublished in: Medical Imaging: Image Processing (2018)
Keyphrases
- graph cuts
- segmentation algorithm
- shape prior
- lung parenchyma
- energy function
- foreground background segmentation
- image segmentation
- automatic segmentation
- object segmentation
- interactive image segmentation
- spatial coherence
- interactive segmentation
- random walker
- ct images
- graph based image segmentation
- ct scans
- photo consistency
- energy minimization
- energy minimization framework
- markov random field
- ct volume
- graph cut segmentation
- x ray
- ct data
- airway tree
- graph cut optimization
- belief propagation
- medical images
- min cut max flow
- three dimensional
- labeling problems
- x ray images
- min cut
- segmentation method
- level set
- pulmonary embolism
- object boundaries
- shape constraints
- smoothness constraint
- pulmonary nodules
- medical imaging
- region growing
- lymph nodes
- manual segmentation
- deformable models
- minimal surface
- max flow
- carotid artery
- energy functional
- accurate segmentation
- active shape model
- computed tomography
- region of interest
- shape model
- fully automatic
- image reconstruction
- lung cancer
- image intensity