Recent Advances in Computational Methods and Clinical Applications for Spine Imaging

✍ Scribed by Jianhua Yao, Ben Glocker, Tobias Klinder, Shuo Li (eds.)

• Publisher: Springer International Publishing
• Year: 2015
• Tongue: English
• Leaves: 259
• Series: Lecture Notes in Computational Vision and Biomechanics 20
• Edition: 1
• Category: Library

✦ Synopsis

This book contains the full papers presented at the MICCAI 2014 workshop on Computational Methods and Clinical Applications for Spine Imaging. The workshop brought together scientists and clinicians in the field of computational spine imaging. The chapters included in this book present and discuss the new advances and challenges in these fields, using several methods and techniques in order to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and fusion, computer simulation, image based modeling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis. The book also includes papers and reports from the first challenge on vertebra segmentation held at the workshop.

✦ Table of Contents

Front Matter....Pages i-xvii
Front Matter....Pages 1-1
Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications....Pages 3-12
Stacked Auto-encoders for Classification of 3D Spine Models in Adolescent Idiopathic Scoliosis....Pages 13-25
An Active Optical Flow Model for Dose Prediction in Spinal SBRT Plans....Pages 27-35
Portable Optically Tracked Ultrasound System for Scoliosis Measurement....Pages 37-46
Front Matter....Pages 47-47
Atlas-Based Registration for Accurate Segmentation of Thoracic and Lumbar Vertebrae in CT Data....Pages 49-59
Segmentation of Lumbar Vertebrae Slices from CT Images....Pages 61-71
Interpolation-Based Detection of Lumbar Vertebrae in CT Spine Images....Pages 73-84
An Improved Shape-Constrained Deformable Model for Segmentation of Vertebrae from CT Lumbar Spine Images....Pages 85-94
Detailed Vertebral Segmentation Using Part-Based Decomposition and Conditional Shape Models....Pages 95-103
Front Matter....Pages 105-105
Automatic Segmentation of the Spinal Cord Using Continuous Max Flow with Cross-sectional Similarity Prior and Tubularity Features....Pages 107-118
Automated Radiological Grading of Spinal MRI....Pages 119-130
Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Data Sets....Pages 131-142
Minimally Supervised Segmentation and Meshing of 3D Intervertebral Discs of the Lumbar Spine for Discectomy Simulation....Pages 143-155
Front Matter....Pages 157-157
Localisation of Vertebrae on DXA Images Using Constrained Local Models with Random Forest Regression Voting....Pages 159-171
Bone Profiles: Simple, Fast, and Reliable Spine Localization in CT Scans....Pages 173-184
Front Matter....Pages 185-185
Area- and Angle-Preserving Parameterization for Vertebra Surface Mesh....Pages 187-198
Contour Models for Descriptive Patient-Specific Neuro-Anatomical Modeling: Towards a Digital Brainstem Atlas....Pages 199-211
Front Matter....Pages 213-213
Atlas-Based Segmentation of the Thoracic and Lumbar Vertebrae....Pages 215-220
Lumbar and Thoracic Spine Segmentation Using a Statistical Multi-object Shape $$+$$ Pose Model....Pages 221-225
Vertebrae Segmentation in 3D CT Images Based on a Variational Framework....Pages 227-233
Front Matter....Pages 213-213
Interpolation-Based Shape-Constrained Deformable Model Approach for Segmentation of Vertebrae from CT Spine Images....Pages 235-240
3D Vertebra Segmentation by Feature Selection Active Shape Model....Pages 241-245
Report of Vertebra Segmentation Challenge in 2014 MICCAI Workshop on Computational Spine Imaging....Pages 247-259

✦ Subjects

Biomedical Engineering; Imaging / Radiology; Signal, Image and Speech Processing; Mathematics, general; Medical and Radiation Physics