Computational Methods and Clinical Applications for Spine Imaging

Automated Pedicle Screw Size and Trajectory Planning by Maximization of Fastening Strength.- Automatic Modic Changes Classification in Spinal MRI.- Patient Registration via Topologically Encoded Depth Projection Images in Spine Surgery.- Automatic Localisation of Vertebrae in DXA Images Using Random Forest Regression Voting.- Robust CT to US 3D-3D Registration by Using Principal Component Analysis and Kalman Filtering.- Cortical Bone Thickness Estimation in CT Images: A Model-Based Approach Without Profile Fitting.- Multi-Atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT.- Statistical Shape Model Construction of Lumbar Vertebrae and Intervertebral Discs in Segmentation for Discectomy Surgery Simulation.- Automatic Intervertebral Discs Localization and Segmentation: A Vertebral Approach.- Segmentation of Intervertebral Discs in 3D MRI Data Using Multi-Atlas Based Registration.- Deformable Model-Based Segmentation of Intervertebral Discs from MR Spine Images by Using the SSC Descriptor.- 3D Intervertebral Disc Segmentation from MRI Using Supervoxel-Based CRFs.- Automatic Intervertebral Disc Localization and Segmentation in 3D MR Images Based on Regression Forests and Active Contours.- Localization and Segmentation of 3D Intervertebral Discs from MR Images via a Learning Based Method: A Validation Framework.- Automated Intervertebral Disc Segmentation Using Probabilistic Shape Estimation and Active Shape Models.