Robust surface registration using salient anatomical features for image-guided liver surgery: Algorithm and validation

Keyphrases

• Anatomical Features 100%
• Anatomical Landmarks 25%
• Clinical Data 25%
• Clinical Datasets 25%
• Correction Algorithm 25%
• Data Acquisition Time 25%
• Deformation Correction 25%
• Displacement Data 25%
• Falciform 25%
• Guidance Information 25%
• Image-guided Liver Surgery 100%
• Initial Pose Estimation 75%
• Iterative Closest Point Algorithm 50%
• Laparotomy 25%
• Laser Range Scanner 25%
• Liver Mobilization 25%
• Liver Surface 100%
• Multiple Patches 25%
• Phantom 25%
• Physical Space 75%
• Point Cloud 25%
• Point Set Registration 25%
• Preoperative Image 25%
• Registration Accuracy 25%
• Registration Algorithm 25%
• Registration Method 50%
• Robust Surface 100%
• Robustness Study 25%
• Single Patch 25%
• Space Registration 75%
• Surface Data 25%
• Surface Displacement 25%
• Surface Mounting 25%
• Surface Registration 100%
• Surface-based Registration 75%
• Surgeons 25%
• Surgical Procedures 25%
• Tissue Deformation 25%
• Tomographic Images 25%
• Tumor Resection 25%
• Weighted Patches 50%
• Weighting Scheme 25%

Engineering

• Acquisition Time 33%
• Anatomical Landmark 33%
• Clinical Data 33%
• Closest Point 33%
• Conventional Method 33%
• Data Collection 33%
• Displacement Data 33%
• Iterative Closest Point Algorithm 33%
• Physical Space 100%
• Point Cloud 33%
• Point Method 33%
• Pose Estimation 100%
• Registration Accuracy 33%
• Registration Method 66%
• Resection 33%

Computer Science

• Acquisition Time 33%
• Anatomical Landmark 33%
• Clinical Data 33%
• Conventional Method 33%
• Correction Algorithm 33%
• Data Collection 33%
• Physical Space 100%
• Point Cloud 33%
• Pose Estimation 100%
• Surface Registration 100%
• Traditional Method 33%