Motion-compensated targeting in pulmonary interventions using cone-beam CT and locally rigid / globally deformable 3D-2D registration.
Rohan C. VijayanNiral ShethLina MekkiAlexander LuAli UneriAlejandro SisniegaJessica MaggaragiaGerhard KleinszigSebastian VogtJeffrey ThiboutotHans LeeLonny YarmusJeffrey H. SiewerdsenPublished in: Medical Imaging: Image-Guided Procedures (2022)
Keyphrases
- motion compensated
- cone beam ct
- image guided
- cone beam
- motion compensation
- image registration
- computed tomography
- motion estimation
- video coding
- projection images
- ct scans
- x ray
- prediction error
- registration process
- motion field
- medical imaging
- three dimensional
- reconstruction method
- ct images
- respiratory motion
- image reconstruction
- intraoperative
- automatic segmentation
- noise level
- treatment planning
- motion model
- deformable models
- prostate cancer
- motion vectors
- bit rate
- computer tomography
- computer vision
- image sequences
- optical flow
- imaging modalities
- medical images
- radiation therapy
- registration parameters
- ct data
- image processing