Spinal Imaging and Image Analysis

✍ Scribed by Shuo Li, Jianhua Yao (eds.)

• Publisher: Springer International Publishing
• Year: 2015
• Tongue: English
• Leaves: 507
• Series: Lecture Notes in Computational Vision and Biomechanics 18
• Edition: 1
• Category: Library

✦ Synopsis

This book is instrumental to building a bridge between scientists and clinicians in the field of spine imaging by introducing state-of-the-art computational methods in the context of clinical applications. Spine imaging via computed tomography, magnetic resonance imaging, and other radiologic imaging modalities, is essential for noninvasively visualizing and assessing spinal pathology. Computational methods support and enhance the physician’s ability to utilize these imaging techniques for diagnosis, non-invasive treatment, and intervention in clinical practice.

Chapters cover a broad range of topics encompassing radiological imaging modalities, clinical imaging applications for common spine diseases, image processing, computer-aided diagnosis, quantitative analysis, data reconstruction and visualization, statistical modeling, image-guided spine intervention, and robotic surgery.

This volume serves a broad audience as contributions were written by both clinicians and researchers, which reflects the intended readership as well, being a potentially comprehensive book for all spine related clinicians, technicians, scientists, and graduate students.

✦ Table of Contents

Front Matter....Pages i-x
Front Matter....Pages 1-1
Imaging of the Spine: A Medical and Physical Perspective....Pages 3-29
Arthritis of the Spine....Pages 31-66
Osteoporosis....Pages 67-93
Front Matter....Pages 95-95
Computer Aided Detection of Bone Metastases in the Thoracolumbar Spine....Pages 97-130
Quantitative Monitoring of Bone Formation in Ankylosing Spondylitis Using Computed Tomography....Pages 131-158
Three-Dimensional Spine Reconstruction from Radiographs....Pages 159-191
Vertebral Column Localization, Labeling, and Segmentation....Pages 193-229
Automated Determination of the Spine-Based Coordinate System for an Efficient Cross-Sectional Visualization of 3D Spine Images....Pages 231-299
Cross-Modality Vertebrae Localization and Labeling Using Learning-Based Approaches....Pages 301-322
Articulated Statistical Shape Models of the Spine....Pages 323-348
Reconstruction of 3D Vertebral Models from a Single 2D Lateral Fluoroscopic Image....Pages 349-365
Graphical Model-Based Vertebra Identification from X-Ray Image(s)....Pages 367-379
Model-Based Segmentation, Reconstruction and Analysis of the Vertebral Body from Spinal CT....Pages 381-438
Front Matter....Pages 439-439
Toward Virtual Modeling and Templating for Enhanced Spine Surgery Planning....Pages 441-467
Tracked Ultrasound in Navigated Spine Interventions....Pages 469-494
Robotic Assistance and Intervention in Spine Surgery....Pages 495-506
Back Matter....Pages 507-508

✦ Subjects

Biomedical Engineering; Image Processing and Computer Vision; Imaging / Radiology