Computational Methods and Clinical Applications for Spine Imaging: Third International Workshop and Challenge, CSI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings | SpringerLink
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Computational Methods and Clinical Applications for Spine Imaging

Third International Workshop and Challenge, CSI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings

  • Conference proceedings
  • © 2016

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Editors:
  1. Tomaž Vrtovec

    1. University of Ljubljana, Ljubljana, Slovenia

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  2. Jianhua Yao

    1. National Institutes of Health, Bethesda, USA

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  3. Ben Glocker

    1. Imperial College London, London, United Kingdom

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  4. Tobias Klinder

    1. Philips GmbH Innovative Technologies, Hamburg, Germany

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  5. Alejandro Frangi

    1. University of Sheffield, Sheffield, United Kingdom

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  6. Guoyan Zheng

    1. University of Bern, Bern, Switzerland

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  7. Shuo Li

    1. University of Western Ontario, London, Canada

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9402)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: CSI 2015.

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About this book

This book constitutes the refereed proceedings of the Third International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2015, held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015. The 9 workshop papers and 6 challenge contributions were carefully reviewed and selected for inclusion in this volume. The papers cover all major aspects related to spine imaging.

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Table of contents (15 papers)

  1. Front Matter

    Pages I-X
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  2. Workshop (Computational Methods and Clinical Applications for Spine Imaging)

    1. Front Matter

      Pages 1-1
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    2. Automated Pedicle Screw Size and Trajectory Planning by Maximization of Fastening Strength

      • Dejan Knez, Boštjan Likar, Franjo Pernuš, Tomaž Vrtovec
      Pages 3-13

    3. Automatic Modic Changes Classification in Spinal MRI

      • Amir Jamaludin, Timor Kadir, Andrew Zisserman
      Pages 14-26

    4. Patient Registration via Topologically Encoded Depth Projection Images in Spine Surgery

      • Songbai Ji, Xiaoyao Fan, Jonathan D. Olson, Linton T. Evans, Keith D. Paulsen, David W. Roberts et al.
      Pages 27-37

    5. Automatic Localisation of Vertebrae in DXA Images Using Random Forest Regression Voting

      • Paul A. Bromiley, Judith E. Adams, Timothy F. Cootes
      Pages 38-51

    6. Robust CT to US 3D-3D Registration by Using Principal Component Analysis and Kalman Filtering

      • Rebeca Echeverría, Camilo Cortes, Alvaro Bertelsen, Ivan Macia, Óscar E. Ruiz, Julián Flórez
      Pages 52-63

    7. Cortical Bone Thickness Estimation in CT Images: A Model-Based Approach Without Profile Fitting

      • Oleg Museyko, Bastian Gerner, Klaus Engelke
      Pages 64-73

    8. Multi-atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT

      • Yinong Wang, Jianhua Yao, Holger R. Roth, Joseph E. Burns, Ronald M. Summers
      Pages 74-84

    9. Statistical Shape Model Construction of Lumbar Vertebrae and Intervertebral Discs in Segmentation for Discectomy Surgery Simulation

      • Rabia Haq, Joshua Cates, David A. Besachio, Roderick C. Borgie, Michel A. Audette
      Pages 85-96

    10. Automatic Intervertebral Discs Localization and Segmentation: A Vertebral Approach

      • Amir Jamaludin, Meelis Lootus, Timor Kadir, Andrew Zisserman
      Pages 97-103

  3. Challenge (Automatic Intervertebral Disc Localization and Segmentation from 3D T2 MRI Data)

    1. Front Matter

      Pages 105-105
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    2. Segmentation of Intervertebral Discs in 3D MRI Data Using Multi-atlas Based Registration

      • Chunliang Wang, Daniel Forsberg
      Pages 107-116

    3. Deformable Model-Based Segmentation of Intervertebral Discs from MR Spine Images by Using the SSC Descriptor

      • Robert Korez, Bulat Ibragimov, Boštjan Likar, Franjo Pernuš, Tomaž Vrtovec
      Pages 117-124

    4. 3D Intervertebral Disc Segmentation from MRI Using Supervoxel-Based CRFs

      • Hugo Hutt, Richard Everson, Judith Meakin
      Pages 125-129

    5. Automatic Intervertebral Disc Localization and Segmentation in 3D MR Images Based on Regression Forests and Active Contours

      • Martin Urschler, Kerstin Hammernik, Thomas Ebner, Darko Štern
      Pages 130-140

    6. Localization and Segmentation of 3D Intervertebral Discs from MR Images via a Learning Based Method: A Validation Framework

      • Chengwen Chu, Weimin Yu, Shuo Li, Guoyan Zheng
      Pages 141-149

    7. Automated Intervertebral Disc Segmentation Using Probabilistic Shape Estimation and Active Shape Models

      • Aleš Neubert, Jurgen Fripp, Shekhar S. Chandra, Craig Engstrom, Stuart Crozier
      Pages 150-158

  4. Back Matter

    Pages 159-159
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Other volumes

  1. Computational Methods and Clinical Applications for Spine Imaging

Editors and Affiliations

  • University of Ljubljana, Ljubljana, Slovenia

    Tomaž Vrtovec

  • National Institutes of Health, Bethesda, USA

    Jianhua Yao

  • Imperial College London, London, United Kingdom

    Ben Glocker

  • Philips GmbH Innovative Technologies, Hamburg, Germany

    Tobias Klinder

  • University of Sheffield, Sheffield, United Kingdom

    Alejandro Frangi

  • University of Bern, Bern, Switzerland

    Guoyan Zheng

  • University of Western Ontario, London, Canada

    Shuo Li

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