Overview
- First book focusing on spinal image analysis
- Includes practical applications
- Points the way for future research
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computational Vision and Biomechanics (LNCVB, volume 18)
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Table of contents (16 chapters)
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Front Matter
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Clinical Imaging and Applications
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Front Matter
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Image Processing
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Front Matter
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Image Guided Spine Intervention
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Front Matter
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Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Spinal Imaging and Image Analysis
Editors: Shuo Li, Jianhua Yao
Series Title: Lecture Notes in Computational Vision and Biomechanics
DOI: https://doi.org/10.1007/978-3-319-12508-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-12507-7Published: 07 January 2015
Softcover ISBN: 978-3-319-37522-9Published: 24 September 2016
eBook ISBN: 978-3-319-12508-4Published: 17 December 2014
Series ISSN: 2212-9391
Series E-ISSN: 2212-9413
Edition Number: 1
Number of Pages: X, 508
Number of Illustrations: 261 b/w illustrations
Topics: Biomedical Engineering and Bioengineering, Image Processing and Computer Vision, Imaging / Radiology