Spinal Imaging and Image Analysis [Paperback]

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 physicians 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.

Preface.- Clinical Imaging and Applications.- Imaging of the Spine: A Medical and Physical Perspective, by Joseph Burns.- Arthritis of the Spine, by Runsheng Wang, Michael Ward.- Osteoporosis, by ?Thomas Baum et al..- Image Processing.- Computer aided detection of bone metastases in the thoracolumbar spine, by Jianhua Yao.- Quantitative Monitoring of Bone Formation in Ankylosing Spondylitis Using Computed Tomography, by Sovira Tan.- Three-dimensional Spine Reconstruction from Radiographs, by Samuel Kadoury.- Vertebral Column Localization, Segmentation, and Labeling, by V. Chaudhary.- Automated Determination of the Spine-Based Coordinate System for an Efficient Cross-Sectional Visualization of 3D Spine Images, by Tomaz Vrtovec.- Cross-Modality Vertebrae LocalizatlÃ