Computational Methods and Clinical Applications for Spine Imaging

Chapter 1 Automated Pedicle Screw Size and Trajectory Planning by Maximization of Fastening Strength

Chapter 2 Automatic Modic Changes Classification in Spinal MRI

Chapter 3 Patient Registration via Topologically Encoded Depth Projection Images in Spine Surgery

Chapter 5 Robust CT to US 3D-3D Registration by Using Principal Component Analysis and Kalman Filtering

Chapter 6 Cortical Bone Thickness Estimation in CT Images: A Model-Based Approach Without Profile Fitting

Chapter 7 Multi-atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT

Chapter 8 Statistical Shape Model Construction of Lumbar Vertebrae and Intervertebral Discs in Segmentation for Discectomy Surgery Simulation

Chapter 9 Automatic Intervertebral Discs Localization and Segmentation: A Vertebral Approach

Chapter 10 Segmentation of Intervertebral Discs in 3D MRI Data Using Multi-atlas Based Registration

Chapter 11 Deformable Model-Based Segmentation of Intervertebral Discs from MR Spine Images by Using the SSC Descriptor

Chapter 12 3D Intervertebral Disc Segmentation from MRI Using Supervoxel-Based CRFs

Chapter 13 Automatic Intervertebral Disc Localization and Segmentation in 3D MR Images Based on Regression Forests and Active Contours

Chapter 14 Localization and Segmentation of 3D Intervertebral Discs from MR Images via a Learning Based Method: A Validation Framework

Chapter 15 Automated Intervertebral Disc Segmentation Using Probabilistic Shape Estimation and Active Shape Models