Spinal Imaging and Image Analysis

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.

First book focusing on spinal image analysis Includes practical applications Points the way for future research Includes supplementary material: sn.pub/extras

Contenu

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 Localization and Labeling using Learning-Based Approaches, by Yiqiang Zhan, Bing Jian, Maneesh Dewan, Xiang Sean Zhou.- Articulated Statistical Shape Models of the Spine, by J. Boisvert.- Reconstruction of 3D Vertebral Model from A Single 2D Lateral Fluoroscopic Image, by Guoyan Zheng and Lutz-P. Nolte.- Graphical Model-based Vertebral Identification from X-ray Images, by Xiao Dong and Guoyan Zheng.- Model-Based Segmentation, Reconstruction and Analysis of the Vertebral Body from Spinal CT, by Melih Aslan, Ahmed Shalaby, Asem Ali, and Aly A. Farag.- Image Guided Spine Intervention.- Toward Virtual Modeling and Templating for Enhanced Spine Surgery Planning, by Cristian Linte, David Holmes.- Automated Determination of the Spine-Based Coordinate System for an Efficient Cross-Sectional Visualization of 3D Spine Images, by Tamas Ungi, Andras Lasso, Gabor Fitchinger.- Robotic Assistance and Intervention in Spine Surgery, by Rajesh Kumar.- Index.