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Computational Methods and Clinical Applications for Spine Imaging

5th International Workshop and Challenge, CSI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Guoyan Zheng

    1. University of Bern, Bern, Switzerland

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  2. Daniel Belavy

    1. Deakin University, Burwood, Australia

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  3. Yunliang Cai

    1. Worcester Polytechnic Institute, Worcester, USA

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  4. Shuo Li

    1. Western University, London, Canada

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11397)

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 2018.

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Table of contents (14 papers)

  1. Front Matter

    Pages i-x
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  2. Regular Papers

    1. Front Matter

      Pages 1-1
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    2. Spinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU

      • Antal Horváth, Charidimos Tsagkas, Simon Andermatt, Simon Pezold, Katrin Parmar, Philippe Cattin
      Pages 3-14

    3. Predicting Scoliosis in DXA Scans Using Intermediate Representations

      • Amir Jamaludin, Timor Kadir, Emma Clark, Andrew Zisserman
      Pages 15-28

    4. Fast Registration of CT with Intra-operative Ultrasound Images for Spine Surgery

      • Houssem-Eddine Gueziri, D. Louis Collins
      Pages 29-40

    5. Automated Grading of Modic Changes Using CNNs – Improving the Performance with Mixup

      • Dimitrios Damopoulos, Daniel Haschtmann, Tamás F. Fekete, Guoyan Zheng
      Pages 41-52

    6. Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models

      • Paul A. Bromiley, Eleni P. Kariki, Timothy F. Cootes
      Pages 53-65

    7. Automated Segmentation of Intervertebral Disc Using Fully Dilated Separable Deep Neural Networks

      • Huan Wang, Ran Gu, Zhongyu Li
      Pages 66-76

    8. Intensity Standardization of Skeleton in Follow-Up Whole-Body MRI

      • Jakub Ceranka, Sabrina Verga, Frédéric Lecouvet, Thierry Metens, Johan de Mey, Jef Vandemeulebroucke
      Pages 77-89

    9. Towards a Deformable Multi-surface Approach to Ligamentous Spine Models for Predictive Simulation-Based Scoliosis Surgery Planning

      • Michel A. Audette, Jerome Schmid, Craig Goodmurphy, Michael Polanco, Sebastian Bawab, Austin Tapp et al.
      Pages 90-102

  3. IVDM3Seg Challenge

    1. Front Matter

      Pages 103-103
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    2. Intervertebral Disc Segmentation Using Mathematical Morphology—A CNN-Free Approach

      • Edwin Carlinet, Thierry Géraud
      Pages 105-118

    3. Deep Learning Framework for Fully Automated Intervertebral Disc Localization and Segmentation from Multi-modality MR Images

      • Yunhe Gao
      Pages 119-129

    4. IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet

      • Jose Dolz, Christian Desrosiers, Ismail Ben Ayed
      Pages 130-143

    5. Intervertebral Disc Segmentation and Localization from Multi-modality MR Images with 2.5D Multi-scale Fully Convolutional Network and Geometric Constraint Post-processing

      • Chang Liu, Liang Zhao
      Pages 144-153

    6. Automatic Segmentation of Lumbar Spine MRI Using Ensemble of 2D Algorithms

      • Nedelcho Georgiev, Asen Asenov
      Pages 154-162

    7. Evaluation and Comparison of Automatic Intervertebral Disc Localization and Segmentation methods with 3D Multi-modality MR Images: A Grand Challenge

      • Guodong Zeng, Daniel Belavy, Shuo Li, Guoyan Zheng
      Pages 163-171

  4. Back Matter

    Pages 173-181
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Other volumes

  1. Computational Methods and Clinical Applications for Spine Imaging

Keywords

About this book

This book constitutes the refereed proceedings of the 5th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018.
The 8 full papers presented together with 8 short papers and 1 keynote were carefully reviewed and selected for inclusion in this volume. Papers on novel methodology and clinical research, and also papers which demonstrate the performance of methods on the provided challenges, the aim is to cover both theoretical and very practical aspects of computerized spinal imaging.

 

Editors and Affiliations

  • University of Bern, Bern, Switzerland

    Guoyan Zheng

  • Deakin University, Burwood, Australia

    Daniel Belavy

  • Worcester Polytechnic Institute, Worcester, USA

    Yunliang Cai

  • Western University, London, Canada

    Shuo Li

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