Computational Methods and Clinical Applications for Spine Imaging

Chapter 1 Segmentation of Vertebrae from 3D Spine Images by Applying Concepts from Transportation and Game Theories

Chapter 2 Automatic and Reliable Segmentation of Spinal Canals in Low-Resolution, Low-Contrast CT Images

Chapter 3 A Robust Segmentation Framework for Spine Trauma Diagnosis

Chapter 4 2D-PCA Based Tensor Level Set Framework for Vertebral Body Segmentation

Chapter 5 Computer Aided Detection of Spinal Degenerative Osteophytes on Sodium Fluoride PET/CT

Chapter 6 Novel Morphological and Appearance Features for Predicting Physical Disability from MR Images in Multiple Sclerosis Patients

Chapter 7 Classification of Spinal Deformities Using a Parametric Torsion Estimator

Chapter 8 Lumbar Spine Disc Herniation Diagnosis with a Joint Shape Model

Chapter 9 Epidural Masses Detection on Computed Tomography Using Spatially-Constrained Gaussian Mixture Models

Chapter 10 Comparison of Manual and Computerized Measurements of Sagittal Vertebral Inclination in MR Images

Chapter 11 Eigenspine: Eigenvector Analysis of Spinal Deformities in Idiopathic Scoliosis

Chapter 12 Quantitative Monitoring of Syndesmophyte Growth in Ankylosing Spondylitis Using Computed Tomography

Chapter 13 A Semi-automatic Method for the Quantification of Spinal Cord Atrophy

Chapter 14 Multi-modal Vertebra Segmentation from MR Dixon for Hybrid Whole-Body PET/MR

Chapter 15 Segmentation of Lumbar Intervertebral Discs from High-Resolution 3D MR Images Using Multi-level Statistical Shape Models

Chapter 16 A Supervised Approach Towards Segmentation of Clinical MRI for Automatic Lumbar Diagnosis

Chapter 17 Computational Methods and Clinical Applications for Spine Imaging

Chapter 18 Registration of MR to Percutaneous Ultrasound of the Spine for Image-Guided Surgery

Chapter 19 Vertebrae Detection and Labelling in Lumbar MR Images