Markov-Gibbs model based registration of CT lung images using subsampling for the follow-up assessment of pleural thickenings.
Peter FaltinKraisorn ChaisaowongThomas KrausTil AachPublished in: ICIP (2011)
Keyphrases
- image registration
- ct scans
- rigid registration
- accurate registration
- deformable registration
- ct images
- three dimensional
- image analysis
- rigid body
- clinical applications
- registration process
- pet ct
- computer tomography
- nonrigid registration
- registration accuracy
- input image
- computed tomography
- mri brain
- ct data
- target registration error
- intensity based registration
- lung parenchyma
- thoracic ct images
- surgical procedures
- low dose
- pulmonary nodules
- image slices
- computed tomography images
- micro ct
- high resolution computed tomography
- inter patient
- ct and mr images
- contrast enhanced
- lumbar spine
- medical images
- registration errors
- deformation field
- computerized tomography
- ct volume
- medical image registration
- image modalities
- pet images
- dual energy
- image volumes
- atlas based segmentation
- multislice
- intraoperative
- accurate segmentation
- computer aided
- region of interest
- magnetic resonance images