Reducing motion artifact in sequential-scan dual-energy CT imaging by incorporating deformable registration within joint statistical image reconstruction.
Tao GeRui LiaoDavid G. PolitteMaria MedranoJeffrey F. WilliamsonBruce R. WhitingTianyu ZhaoJoseph A. O'SullivanPublished in: Computational Imaging (2021)
Keyphrases
- image reconstruction
- deformable registration
- computed tomography
- computer tomography
- image registration
- low dose
- super resolution
- brain images
- motion estimation
- deformation field
- b spline
- prostate cancer
- optical flow
- brain tumors
- similarity metric
- ct scans
- image sequences
- x ray
- accurate registration
- diffusion tensor
- high resolution
- statistical shape model
- computational complexity
- moving objects
- image analysis
- medical images
- ct data
- machine learning