SPINAL IMAGING AND IMAGE ANALYSIS. LECTURE NOTES IN COMPUTATIONAL VISION AND BIOMECHANICS, VOL. 18

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 (16 chapters)
1.Imaging of the Spine: A Medical and Physical Perspective
2.Arthritis of the Spine
3.Osteoporosis
4.Computer Aided Detection of Bone Metastases in the Thoracolumbar Spine
5.Quantitative Monitoring of Bone Formation in Ankylosing Spondylitis Using Computed Tomography
6.Three-Dimensional Spine Reconstruction from Radiographs
7.Vertebral Column Localization, Labeling, and Segmentation
8.Automated Determination of the Spine-Based Coordinate System for an Efficient Cross-Sectional Visualization of 3D Spine Images
9.Cross-Modality Vertebrae Localization and Labeling Using Learning-Based Approaches
10.Articulated Statistical Shape Models of the Spine
11.Reconstruction of 3D Vertebral Models from a Single 2D Lateral Fluoroscopic Image
12.Graphical Model-Based Vertebra Identification from X-Ray Image(s)
13.Model-Based Segmentation, Reconstruction and Analysis of the Vertebral Body from Spinal CT
14.Toward Virtual Modeling and Templating for Enhanced Spine Surgery Planning
15.Tracked Ultrasound in Navigated Spine Interventions
16.Robotic Assistance and Intervention in Spine Surgery