Deformable image registration by combining uncertainty estimates from supervoxel belief propagation

Keyphrases

• Uncertainty Estimation 100%
• Belief Propagation 100%
• Deformable Image Registration 100%
• Supervoxel 100%
• Voxel-wise 80%
• Coarse-to-fine 40%
• Graphical Models 20%
• Local Optimum 20%
• Search Space 20%
• High-resolution 20%
• Image Registration 20%
• Optimization Strategy 20%
• Motion Estimation 20%
• 3D Image 20%
• Marginal Distribution 20%
• Optimization Scheme 20%
• Multi-resolution Model 20%
• Image Domain 20%
• Majority Voting 20%
• Segmentation Labels 20%
• Spatial Context 20%
• Registration Accuracy 20%
• Mean Shift Algorithm 20%
• Displacement Vector 20%
• Low Contrast 20%
• Motion Vector 20%
• Brain Segmentation 20%
• Medical Image 20%
• Discrete Optimization 20%
• Medical Data 20%
• Patient Motion 20%
• Multi-modal Image Registration 20%
• Robustness to Noise 20%
• Image Warping 20%
• Deformation Model 20%
• Medical Image Registration 20%
• Dense Sampling 20%
• Multi-atlas Segmentation 20%
• Minimum Spanning Tree 20%
• Layer Approach 20%
• Coarse Scale 20%
• Sub-voxel 20%
• Intermediate Image 20%
• Segmentation Propagation 20%
• Registration Uncertainty 20%
• Displacement Uncertainty 20%
• Lung Registration 20%
• Lung CT 20%
• Popular 20%
• Fusion Approach 20%
• Intra-patient 20%
• Optimal Displacement 20%
• MRI Brain Scans 20%

Engineering

• Medical Image 100%
• Belief Propagation 100%
• Experimental Result 50%
• Similarities 50%
• Applicability 50%
• Optimization Strategy 50%
• Image Domain 50%
• Motion Estimation 50%
• Registration Accuracy 50%
• Local Optimum 50%
• Displacement Vector 50%
• Motion Vector 50%
• Intermediate Image 50%
• Multilayer Approach 50%
• Patient Motion 50%
• Deformation Model 50%
• Medical Data 50%
• High Resolution 50%
• Marginal Distribution 50%
• Search Space 50%
• Segmentation Label 50%
• Spanning Tree 50%

Computer Science

• Belief Propagation 100%
• Deformable Registration 100%
• Graphical Model 50%
• mean shift 50%
• Search Space 50%
• Majority Voting 50%
• Shift Algorithm 50%
• Discrete Optimization 50%
• Challenging Application 50%
• Segmentation Label 50%
• Resolution Scheme 50%
• Experimental Result 50%
• Layer Approach 50%
• Motion Estimation 50%
• Marginal Distribution 50%
• Optimization Strategy 50%
• Displacement Vector 50%
• Intermediate Image 50%
• Minimum Spanning Tree 50%