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Computational Methods and Clinical Applications for Spine Imaging

4th International Workshop and Challenge, CSI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Jianhua Yao

    1. National Institutes of Health , Bethesda, USA

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  2. Tomaž Vrtovec

    1. University of Ljubljana , Ljubljana, Slovenia

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  3. Guoyan Zheng

    1. University of Bern , Bern, Switzerland

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  4. Alejandro Frangi

    1. University of Sheffield , Sheffield, United Kingdom

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  5. Ben Glocker

    1. Imperial College London , London, United Kingdom

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  6. 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 10182)

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 2016.

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Table of contents (13 papers)

  1. Front Matter

    Pages I-X
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  2. Segmentation

    1. Front Matter

      Pages 1-1
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    2. Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae

      • S. M. Masudur Rahman Al Arif, Michael Gundry, Karen Knapp, Greg Slabaugh
      Pages 3-15

    3. Machine Learning Based Bone Segmentation in Ultrasound

      • Nora Baka, Sieger Leenstra, Theo van Walsum
      Pages 16-25

    4. Variational Segmentation of the White and Gray Matter in the Spinal Cord Using a Shape Prior

      • Antal Horváth, Simon Pezold, Matthias Weigel, Katrin Parmar, Oliver Bieri, Philippe Cattin
      Pages 26-37

    5. Automated Intervertebral Disc Segmentation Using Deep Convolutional Neural Networks

      • Xing Ji, Guoyan Zheng, Daniel Belavy, Dong Ni
      Pages 38-48

  3. Localization

    1. Front Matter

      Pages 49-49
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    2. Fully Automatic Localisation of Vertebrae in CT Images Using Random Forest Regression Voting

      • Paul A. Bromiley, Eleni P. Kariki, Judith E. Adams, Timothy F. Cootes
      Pages 51-63

    3. Global Localization and Orientation of the Cervical Spine in X-ray Images

      • S. M. Masudur Rahman Al Arif, Michael Gundry, Karen Knapp, Greg Slabaugh
      Pages 64-76

    4. Accurate Intervertebral Disc Localisation and Segmentation in MRI Using Vantage Point Hough Forests and Multi-atlas Fusion

      • Mattias P. Heinrich, Ozan Oktay
      Pages 77-84

    5. Multi-scale and Modality Dropout Learning for Intervertebral Disc Localization and Segmentation

      • Xiaomeng Li, Qi Dou, Hao Chen, Chi-Wing Fu, Pheng-Ann Heng
      Pages 85-91

    6. Fully Automatic Localization and Segmentation of Intervertebral Disc from 3D Multi-modality MR Images by Regression Forest and CNN

      • Xing Ji, Guoyan Zheng, Li Liu, Dong Ni
      Pages 92-101

  4. Computer Aided Diagnosis and Intervention

    1. Front Matter

      Pages 103-103
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    2. Manual and Computer-Assisted Pedicle Screw Placement Plans: A Quantitative Comparison

      • Dejan Knez, Janez Mohar, Robert J. Cirman, Boštjan Likar, Franjo Pernuš, Tomaž Vrtovec
      Pages 105-115

    3. Detection of Degenerative Osteophytes of the Spine on PET/CT Using Region-Based Convolutional Neural Networks

      • Yinong Wang, Jianhua Yao, Joseph E. Burns, Jiamin Liu, Ronald M. Summers
      Pages 116-124

    4. Reconstruction of 3D Lumvar Vertebra from Two X-ray Images Based on 2D/3D Registration

      • Longwei Fang, Zuowei Wang, Zhiqiang Chen, Fengzeng Jian, Huiguang He
      Pages 125-134

    5. Classification of Progressive and Non-progressive Scoliosis Patients Using Discriminant Manifolds

      • William Mandel, Robert Korez, Marie-Lyne Nault, Stefan Parent, Samuel Kadoury
      Pages 135-145

  5. Back Matter

    Pages 147-147
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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 4th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.


The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. They aim at reviewing the state-of-the-art techniques, sharing the novel and emerging analysis and visualization techniques and discussing the clinical challenges and open problems in this rapidly growing field - including all major aspects of problems related to spine imaging, including clinical applications of spine imaging, computer aided diagnosis of spine conditions, computer aided detection of spine-related diseases, emerging computational imaging techniques for spinal diseases, fast 3D reconstruction of spine, feature extraction, multiscale analysis, pattern recognition, image enhancement of spine imaging, image-guided spine intervention and treatment, multimodal image registration and fusion for spine imaging, novel visualization techniques, segmentation techniques for spine imaging, statistical and geometric modeling for spine and vertebra, spine and vertebra localization.

Editors and Affiliations

  • National Institutes of Health , Bethesda, USA

    Jianhua Yao

  • University of Ljubljana , Ljubljana, Slovenia

    Tomaž Vrtovec

  • University of Bern , Bern, Switzerland

    Guoyan Zheng

  • University of Sheffield , Sheffield, United Kingdom

    Alejandro Frangi

  • Imperial College London , London, United Kingdom

    Ben Glocker

  • University of Western Ontario, London, Canada

    Shuo Li

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