Deformable medical image registration: Setting the state of the art with discrete methods

Keyphrases

• Deformable Image Registration 100%
• Discrete Method 100%
• Matching Criterion 66%
• Regularization Constraint 66%
• Population-based Study 33%
• Intraoperative Imaging 33%
• Registration Method 33%
• Computation Time 33%
• Landmark Registration 33%
• Optimization Problem 33%
• Graphical Models 33%
• Image Matching 33%
• Computationally Efficient 33%
• Computational Complexity 33%
• Optimization Strategy 33%
• Deformation Model 33%
• Markov Random Field 33%
• Grid Deformation 33%
• Minimal Cost 33%
• Medical Image Registration 33%
• Model Constraints 33%
• 3D Deformation 33%
• Data Demand 33%
• Tight Relaxation 33%
• Cost Graph 33%
• Geometric Landmark 33%
• Node Connectivity 33%
• Two-graph 33%
• Performance Complexity 33%
• Local Deformation 33%
• Discrete Optimization Algorithm 33%
• Graph Problems 33%

Computer Science

• Regularization 100%
• Matching Criterion 100%
• Discrete Method 100%
• Computation Time 50%
• Optimization Algorithm 50%
• Deformable Registration 50%
• Graphical Model 50%
• Discrete Optimization 50%
• Optimization Problem 50%
• Optimization Strategy 50%
• Computational Complexity 50%
• Intraoperative Imaging 50%
• Image Matching 50%
• Presented Framework 50%
• Connectivity Node 50%
• Continuous Method 50%

Engineering

• Nodes 100%
• Medical Image 100%
• Regularization 100%
• Discrete Method 100%
• Registration Method 50%
• Optimisation Problem 50%
• Computation Time 50%
• Random Field 50%
• Computational Complexity 50%
• Optimization Strategy 50%
• Deformation Model 50%
• Image Matching 50%
• Subproblem 50%
• Continuous Method 50%