Pulmonary airways tree segmentation from CT examinations using adaptive volume of interest.
Sang-Cheol ParkWon Pil KimBin ZhengJoseph K. LeaderJiantao PuJun TanDavid GurPublished in: Medical Imaging: Image Processing (2009)
Keyphrases
- airway tree
- ct scans
- ct images
- image slices
- cross sections
- ct volume
- lung parenchyma
- seeded region growing
- subject specific
- computer tomography
- medical images
- computed tomography
- ct data
- x ray
- image volumes
- medical imaging
- volume data
- cross sectional
- automatic segmentation
- region growing
- low dose
- region of interest
- rigid registration
- lymph nodes
- image segmentation
- magnetic resonance
- pulmonary nodules
- segmentation algorithm
- segmentation method
- thoracic ct images
- tree structure
- volume rendering
- clinical practice
- cross section
- multislice
- lung nodules
- level set
- lung cancer
- inter patient
- ct and mr images
- accurate segmentation
- atlas based segmentation
- treatment planning
- mri images
- pulmonary embolism
- color image segmentation
- manual segmentation
- three dimensional