Reducing non-realistic deformations in registration using precise and reliable landmark correspondences.
Naxin CaiHoujin ChenYanfeng LiYahui PengJupeng LiXinchun LiPublished in: Comput. Biol. Medicine (2019)
Keyphrases
- image registration
- thin plate spline
- feature matching
- accurate registration
- deformation field
- registration framework
- mutual information
- demons algorithm
- registration process
- registration accuracy
- transformation parameters
- partially overlapping
- image pairs
- deformation model
- affine transformation
- intensity differences
- medical image analysis
- registration errors
- deformable registration
- deformable shapes
- image alignment
- image matching
- nonrigid registration
- landmark points
- registration of range images
- feature based registration
- computer vision
- surface registration
- control points
- coarse to fine
- medical imaging
- displacement field
- statistical shape model
- free form deformation
- rigid registration
- closest point
- shape registration
- point set registration
- image sequences
- inter subject
- pairwise
- point to point correspondences
- diffeomorphic registration
- medical images
- automatic registration
- anatomical structures