Lung Segmentation from CT with Severe Pathologies Using Anatomical Constraints.
Neil BirkbeckTimo KohlbergerJingdan ZhangMichal SofkaJens N. KaftanDorin ComaniciuShaohua Kevin ZhouPublished in: MICCAI (1) (2014)
Keyphrases
- medical images
- computed tomography
- ct images
- ct data
- medical imaging
- anatomical structures
- lung parenchyma
- ground glass opacity
- ct scans
- computer tomography
- three dimensional
- accurate segmentation
- probabilistic atlas
- lung disease
- brain mri
- brain structures
- pet ct
- segmentation algorithm
- mr images
- image segmentation
- inter patient
- level set
- ct volume
- brain images
- region of interest
- computer aided diagnosis
- lung nodules
- pulmonary nodules
- magnetic resonance imaging
- computed tomography images
- lung cancer
- image analysis
- lymph nodes
- x ray images
- magnetic resonance images
- magnetic resonance
- thoracic ct images
- pulmonary embolism
- automatic segmentation
- statistical shape model
- imaging modalities
- region growing
- contrast enhanced
- treatment planning
- pre operative
- clinical applications
- computer assisted