Memory Efficient LDDMM for Lung CT.
Thomas PolzinMarc NiethammerMattias P. HeinrichHeinz HandelsJan ModersitzkiPublished in: MICCAI (3) (2016)
Keyphrases
- memory efficient
- ct images
- computed tomography
- ct scans
- ct data
- lung parenchyma
- medical images
- pulmonary embolism
- medical imaging
- finite element
- computer tomography
- ground glass opacity
- automatic segmentation
- target registration error
- x ray
- pulmonary nodules
- image reconstruction
- external memory
- iterative deepening
- intraoperative
- three dimensional
- patient specific
- region of interest
- dual energy
- lung cancer
- low dose
- multiple sequence alignment
- pet ct
- lymph nodes
- lung disease
- computed tomography images
- riemannian manifolds
- lung nodules
- thoracic ct images
- registration process
- image analysis
- multislice
- magnetic resonance images
- completely automated
- integral image
- pre operative
- statistical shape model