An adaptive motion regularization technique to support sliding motion in deformable image registration:

Keyphrases

• Regularization Method 100%
• Deformable Image Registration 100%
• Sliding Motion 100%
• Adaptive Motion 100%
• Deformation Vector Field 100%
• Lung 57%
• Directional Dependence 42%
• Chest Wall 42%
• Abdominal Wall 42%
• Target Registration Error 42%
• Digital Phantom 42%
• Isotropic Smoothing 42%
• Tissue Motion 28%
• Normal Direction 28%
• Sliding Surface 28%
• Accurately Model 28%
• Registration Accuracy 28%
• Tangential Directions 28%
• Upper Abdomen 28%
• Smoothing Methods 14%
• Phantom 14%
• Image Registration 14%
• Soft Tissue 14%
• Estimation Accuracy 14%
• Multiple Tissues 14%
• Liver 14%
• Evenly Distributed 14%
• Accuracy Improvement 14%
• Local Structure 14%
• Spleen 14%
• Tissue Deformation 14%
• Respiratory Cycle 14%
• Inhalation 14%
• Propagation Mechanism 14%
• Motion Estimation 14%
• Intensity Difference 14%
• Organ Boundary 14%
• Automatic Method 14%
• Sum of Squared Differences 14%
• Abdomen 14%
• Motion Propagation 14%
• Exhalation 14%
• Abdominal Organs 14%
• Global Smoothness 14%
• Thoracic Organs 14%
• Large Sliding 14%
• Bilateral Filter 14%
• Distance Map 14%
• Contour Propagation 14%
• Determinant Analysis 14%
• Isotropic Filters 14%
• CT Dataset 14%
• Jacobian Determinant 14%
• 4DCT 14%

Engineering

• Regularization 100%
• Vector Field 100%
• Sliding Motion 100%
• Sliding Surface 28%
• Registration Accuracy 28%
• Registration Method 14%
• Gaussians 14%
• Local Structure 14%
• Motion Estimation 14%
• Squared Difference 14%
• Regularization Method 14%
• Ground Truth 14%
• Distance Map 14%
• Jacobian determinant 14%

Computer Science

• Regularization 100%
• Sliding Motion 100%
• Registration Error 50%
• Sliding Surface 33%
• Tangential Direction 33%
• Local Structure 16%
• Estimation Accuracy 16%
• Motion Estimation 16%
• Regularization Method 16%
• Squared Difference 16%
• Propagation Mechanism 16%