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Computational Methods and Clinical Applications for Spine Imaging

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Cover of 'Computational Methods and Clinical Applications for Spine Imaging'

Table of Contents

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    Book Overview
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    Chapter 1 Automated Pedicle Screw Size and Trajectory Planning by Maximization of Fastening Strength
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    Chapter 2 Automatic Modic Changes Classification in Spinal MRI
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    Chapter 3 Patient Registration via Topologically Encoded Depth Projection Images in Spine Surgery
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    Chapter 4 Automatic Localisation of Vertebrae in DXA Images Using Random Forest Regression Voting
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    Chapter 5 Robust CT to US 3D-3D Registration by Using Principal Component Analysis and Kalman Filtering
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    Chapter 6 Cortical Bone Thickness Estimation in CT Images: A Model-Based Approach Without Profile Fitting
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    Chapter 7 Multi-atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT
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    Chapter 8 Statistical Shape Model Construction of Lumbar Vertebrae and Intervertebral Discs in Segmentation for Discectomy Surgery Simulation
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    Chapter 9 Automatic Intervertebral Discs Localization and Segmentation: A Vertebral Approach
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    Chapter 10 Segmentation of Intervertebral Discs in 3D MRI Data Using Multi-atlas Based Registration
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    Chapter 11 Deformable Model-Based Segmentation of Intervertebral Discs from MR Spine Images by Using the SSC Descriptor
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    Chapter 12 3D Intervertebral Disc Segmentation from MRI Using Supervoxel-Based CRFs
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    Chapter 13 Automatic Intervertebral Disc Localization and Segmentation in 3D MR Images Based on Regression Forests and Active Contours
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    Chapter 14 Localization and Segmentation of 3D Intervertebral Discs from MR Images via a Learning Based Method: A Validation Framework
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    Chapter 15 Automated Intervertebral Disc Segmentation Using Probabilistic Shape Estimation and Active Shape Models
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