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Computational Methods and Clinical Applications for Spine Imaging

Proceedings of the Workshop held at the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, September 22-26, 2013, Nagoya, Japan

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. Jianhua Yao

    1. Center Drive, National Institutes of Health, Bethesda, USA

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  2. Tobias Klinder

    1. Innovative Technologies Research Laboratories, Philips Research, Hamburg, Germany

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    You can also search for this editor in PubMed   Google Scholar

  3. Shuo Li

    1. GE Healthcare and University of Western Ontario, London, Canada

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    You can also search for this editor in PubMed   Google Scholar

  • This is the first spine workshop conjunct with MICCAI, the primary conference in medical image analysis
  • The only proceedings volume to cover such a comprehensive topic in the field
  • Thorough coverage of topics and sub-topics
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Computational Vision and Biomechanics (LNCVB, volume 17)

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Table of contents (19 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Segmentation I (CT)

    1. Front Matter

      Pages 1-1
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    2. Segmentation of Vertebrae from 3D Spine Images by Applying Concepts from Transportation and Game Theories

      • Bulat Ibragimov, BoÅ¡tjan Likar, Franjo PernuÅ¡, Tomaž Vrtovec
      Pages 3-14

    3. Automatic and Reliable Segmentation of Spinal Canals in Low-Resolution, Low-Contrast CT Images

      • Qian Wang, Le Lu, Dijia Wu, Noha El-Zehiry, Dinggang Shen, Kevin S. Zhou
      Pages 15-24

    4. A Robust Segmentation Framework for Spine Trauma Diagnosis

      • Poay Hoon Lim, Ulas Bagci, Li Bai
      Pages 25-33

    5. 2D-PCA Based Tensor Level Set Framework for Vertebral Body Segmentation

      • Ahmed Shalaby, Aly Farag, Melih Aslan
      Pages 35-48

  3. Computer Aided Detection and Diagnosis

    1. Front Matter

      Pages 49-49
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    2. Computer Aided Detection of Spinal Degenerative Osteophytes on Sodium Fluoride PET/CT

      • Jianhua Yao, Hector Munoz, Joseph E. Burns, Le Lu, Ronald M. Summers
      Pages 51-60

    3. Novel Morphological and Appearance Features for Predicting Physical Disability from MR Images in Multiple Sclerosis Patients

      • Jeremy Kawahara, Chris McIntosh, Roger Tam, Ghassan Hamarneh
      Pages 61-73

    4. Classification of Spinal Deformities Using a Parametric Torsion Estimator

      • Jesse Shen, Stefan Parent, Samuel Kadoury
      Pages 75-86

    5. Lumbar Spine Disc Herniation Diagnosis with a Joint Shape Model

      • Raja S. Alomari, Jason J. Corso, Vipin Chaudhary, Gurmeet Dhillon
      Pages 87-98

    6. Epidural Masses Detection on Computed Tomography Using Spatially-Constrained Gaussian Mixture Models

      • Sanket Pattanaik, Jiamin Liu, Jianhua Yao, Weidong Zhang, Evrim Turkbey, Xiao Zhang et al.
      Pages 99-108

  4. Quantitative Imaging

    1. Front Matter

      Pages 109-109
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    2. Comparison of Manual and Computerized Measurements of Sagittal Vertebral Inclination in MR Images

      • Tomaž Vrtovec, Franjo PernuÅ¡, BoÅ¡tjan Likar
      Pages 111-121

    3. Eigenspine: Eigenvector Analysis of Spinal Deformities in Idiopathic Scoliosis

      • Daniel Forsberg, Claes Lundström, Mats Andersson, Hans Knutsson
      Pages 123-134

    4. Quantitative Monitoring of Syndesmophyte Growth in Ankylosing Spondylitis Using Computed Tomography

      • Sovira Tan, Jianhua Yao, Lawrence Yao, Michael M. Ward
      Pages 135-142

    5. A Semi-automatic Method for the Quantification of Spinal Cord Atrophy

      • Simon Pezold, Michael Amann, Katrin Weier, Ketut Fundana, Ernst W. Radue, Till Sprenger et al.
      Pages 143-155

  5. Segmentation II (MR)

    1. Front Matter

      Pages 157-157
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    2. Multi-modal Vertebra Segmentation from MR Dixon for Hybrid Whole-Body PET/MR

      • Christian Buerger, Jochen Peters, Irina Waechter-Stehle, Frank M. Weber, Tobias Klinder, Steffen Renisch
      Pages 159-171

    3. Segmentation of Lumbar Intervertebral Discs from High-Resolution 3D MR Images Using Multi-level Statistical Shape Models

      • AleÅ¡ Neubert, Jurgen Fripp, Craig Engstrom, Stuart Crozier
      Pages 173-183
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Keywords

About this book

This book contains the full papers presented at the MICCAI 2013 workshop Computational Methods and Clinical Applications for Spine Imaging. The workshop brought together researchers representing several fields, such as Biomechanics, Engineering, Medicine, Mathematics, Physics and Statistic. The works included in this book present and discuss new trends in those fields, using several methods and techniques in order to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and fusion, computer simulation, image based modelling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis.

Editors and Affiliations

  • Center Drive, National Institutes of Health, Bethesda, USA

    Jianhua Yao

  • Innovative Technologies Research Laboratories, Philips Research, Hamburg, Germany

    Tobias Klinder

  • GE Healthcare and University of Western Ontario, London, Canada

    Shuo Li

Bibliographic Information

  • Book Title: Computational Methods and Clinical Applications for Spine Imaging

  • Book Subtitle: Proceedings of the Workshop held at the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, September 22-26, 2013, Nagoya, Japan

  • Editors: Jianhua Yao, Tobias Klinder, Shuo Li

  • Series Title: Lecture Notes in Computational Vision and Biomechanics

  • DOI: https://doi.org/10.1007/978-3-319-07269-2

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Hardcover ISBN: 978-3-319-07268-5Published: 30 July 2014

  • Softcover ISBN: 978-3-319-35805-5Published: 10 September 2016

  • eBook ISBN: 978-3-319-07269-2Published: 11 July 2014

  • Series ISSN: 2212-9391

  • Series E-ISSN: 2212-9413

  • Edition Number: 1

  • Number of Pages: XI, 230

  • Number of Illustrations: 92 b/w illustrations

  • Topics: Biomedical Engineering and Bioengineering, Computer Imaging, Vision, Pattern Recognition and Graphics, Imaging / Radiology

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