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Recent Advances in Computational Methods and Clinical Applications for Spine Imaging

  • Book
  • © 2015

Overview

Editors:
  1. Jianhua Yao

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

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  2. Ben Glocker

    1. Department of Computing, Imperial College, London, United Kingdom

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  3. Tobias Klinder

    1. Innovative Technologies, Philips Research, Hamburg, Germany

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  4. Shuo Li

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

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  • Summarizes the most recent advances in spine imaging and its clinical application
  • Addresses spinal disease which is common and causes a huge burden of morbidity and cost to society
  • Guides the reader through this rapidly developing field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Computational Vision and Biomechanics (LNCVB, volume 20)

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Table of contents (23 chapters)

  1. Front Matter

    Pages i-xvii
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  2. Computer Aided Diagnosis and Intervention

    1. Front Matter

      Pages 1-1
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    2. Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications

      • Holger R. Roth, Jianhua Yao, Le Lu, James Stieger, Joseph E. Burns, Ronald M. Summers
      Pages 3-12

    3. Stacked Auto-encoders for Classification of 3D Spine Models in Adolescent Idiopathic Scoliosis

      • William E. Thong, Hubert Labelle, Jesse Shen, Stefan Parent, Samuel Kadoury
      Pages 13-25

    4. An Active Optical Flow Model for Dose Prediction in Spinal SBRT Plans

      • Jianfei Liu, Q. Jackie Wu, Fang-Fang Yin, John P. Kirkpatrick, Alvin Cabrera, Yaorong Ge
      Pages 27-35

    5. Portable Optically Tracked Ultrasound System for Scoliosis Measurement

      • Guillermo Carbajal, Álvaro Gómez, Gabor Fichtinger, Tamas Ungi
      Pages 37-46

  3. Spine Segmentation

    1. Front Matter

      Pages 47-47
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    2. Atlas-Based Registration for Accurate Segmentation of Thoracic and Lumbar Vertebrae in CT Data

      • Daniel Forsberg
      Pages 49-59

    3. Segmentation of Lumbar Vertebrae Slices from CT Images

      • Hugo Hutt, Richard Everson, Judith Meakin
      Pages 61-71

    4. Interpolation-Based Detection of Lumbar Vertebrae in CT Spine Images

      • Bulat Ibragimov, Robert Korez, Boštjan Likar, Franjo Pernuš, Tomaž Vrtovec
      Pages 73-84

    5. An Improved Shape-Constrained Deformable Model for Segmentation of Vertebrae from CT Lumbar Spine Images

      • Robert Korez, Bulat Ibragimov, Boštjan Likar, Franjo Pernuš, Tomaž Vrtovec
      Pages 85-94

    6. Detailed Vertebral Segmentation Using Part-Based Decomposition and Conditional Shape Models

      • Marco Pereañez, Karim Lekadir, Corné Hoogendoorn, Isaac Castro-Mateos , Alejandro Frangi
      Pages 95-103

  4. MR Image Processing

    1. Front Matter

      Pages 105-105
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    2. Automatic Segmentation of the Spinal Cord Using Continuous Max Flow with Cross-sectional Similarity Prior and Tubularity Features

      • Simon Pezold, Ketut Fundana, Michael Amann, Michaela Andelova, Armanda Pfister, Till Sprenger et al.
      Pages 107-118

    3. Automated Radiological Grading of Spinal MRI

      • Meelis Lootus, Timor Kadir, Andrew Zisserman
      Pages 119-130

    4. Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Data Sets

      • Xiao Dong, Guoyan Zheng
      Pages 131-142

    5. Minimally Supervised Segmentation and Meshing of 3D Intervertebral Discs of the Lumbar Spine for Discectomy Simulation

      • Rabia Haq, Rifat Aras, David A. Besachio, Roderick C. Borgie, Michel A. Audette
      Pages 143-155

  5. Localization

    1. Front Matter

      Pages 157-157
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    2. Localisation of Vertebrae on DXA Images Using Constrained Local Models with Random Forest Regression Voting

      • P. A. Bromiley, J. E. Adams, T. F. Cootes
      Pages 159-171

    3. Bone Profiles: Simple, Fast, and Reliable Spine Localization in CT Scans

      • Jiří Hladůvka, David Major, Katja Bühler
      Pages 173-184
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Keywords

About this book

This book contains the full papers presented at the MICCAI 2014 workshop on Computational Methods and Clinical Applications for Spine Imaging. The workshop brought together scientists and clinicians in the field of computational spine imaging. The chapters included in this book present and discuss the new advances and challenges in these 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 modeling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis. The book also includes papers and reports from the first challenge on vertebra segmentation held at the workshop.

Editors and Affiliations

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

    Jianhua Yao

  • Department of Computing, Imperial College, London, United Kingdom

    Ben Glocker

  • Innovative Technologies, Philips Research, Hamburg, Germany

    Tobias Klinder

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

    Shuo Li

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