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Spinal Imaging and Image Analysis

  • Shuo Li
  • Jianhua Yao

Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 18)

Table of contents

  1. Front Matter
    Pages i-x
  2. Clinical Imaging and Applications

    1. Front Matter
      Pages 1-1
    2. Runsheng Wang, Michael M. Ward
      Pages 31-66
    3. Thomas Baum, Dimitrios C. Karampinos, Stefan Ruschke, Hans Liebl, Peter B. Noël, Jan S. Bauer
      Pages 67-93
  3. Image Processing

  4. Image Guided Spine Intervention

    1. Front Matter
      Pages 439-439
    2. Cristian A. Linte, Kurt E. Augustine, Jon J. Camp, Richard A. Robb, David R. Holmes III
      Pages 441-467
    3. Tamas Ungi, Andras Lasso, Gabor Fichtinger
      Pages 469-494
  5. Back Matter
    Pages 507-508

About this book

Introduction

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.

Keywords

Computational Methods Computer Aided Diagnosis Image Processing Image Segmentation Image based modeling MICCAI Spine CT Spine Imaging

Editors and affiliations

  • Shuo Li
    • 1
  • Jianhua Yao
    • 2
  1. 1.GE Healthcare and University of Western OntarioLondonCanada
  2. 2.Clinical CenterNational Institutes of HealthBethesdaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-12508-4
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-12507-7
  • Online ISBN 978-3-319-12508-4
  • Series Print ISSN 2212-9391
  • Series Online ISSN 2212-9413
  • Buy this book on publisher's site