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Nonlinear image registration with bidirectional metric and reciprocal regularization
- Source :
- PLoS ONE, Vol 12, Iss 2, p e0172432 (2017), PLoS ONE
- Publication Year :
- 2017
- Publisher :
- Public Library of Science (PLoS), 2017.
-
Abstract
- Nonlinear registration is an important technique to align two different images and widely applied in medical image analysis. In this paper, we develop a novel nonlinear registration framework based on the diffeomorphic demons, where a reciprocal regularizer is introduced to assume that the deformation between two images is an exact diffeomorphism. In detail, first, we adopt a bidirectional metric to improve the symmetry of the energy functional, whose variables are two reciprocal deformations. Secondly, we slack these two deformations into two independent variables and introduce a reciprocal regularizer to assure the deformations being the exact diffeomorphism. Then, we utilize an alternating iterative strategy to decouple the model into two minimizing subproblems, where a new closed form for the approximate velocity of deformation is calculated. Finally, we compare our proposed algorithm on two data sets of real brain MR images with two relative and conventional methods. The results validate that our proposed method improves accuracy and robustness of registration, as well as the gained bidirectional deformations are actually reciprocal.
- Subjects :
- Geodesic
Computer science
Velocity
lcsh:Medicine
02 engineering and technology
Regularization (mathematics)
Diagnostic Radiology
0302 clinical medicine
Medicine and Health Sciences
Image Processing, Computer-Assisted
0202 electrical engineering, electronic engineering, information engineering
lcsh:Science
media_common
Energy functional
Multidisciplinary
Physics
Radiology and Imaging
Applied Mathematics
Simulation and Modeling
Classical Mechanics
Brain
Magnetic Resonance Imaging
Deformation
Physical Sciences
020201 artificial intelligence & image processing
Diffeomorphism
Algorithm
Algorithms
Reciprocal
Research Article
Optimization
Imaging Techniques
media_common.quotation_subject
Image registration
Neuroimaging
Image Analysis
Research and Analysis Methods
Motion
03 medical and health sciences
Diagnostic Medicine
Image Interpretation, Computer-Assisted
Humans
Damage Mechanics
Variables
lcsh:R
Biology and Life Sciences
Nonlinear system
Nonlinear Dynamics
lcsh:Q
Mathematics
030217 neurology & neurosurgery
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 12
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....36d231f6d50f08243427ef24f46ef7f4