Skip to main content
SpringerLink
Log in

Computational Methods and Clinical Applications in Musculoskeletal Imaging

5th International Workshop, MSKI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised Selected Papers

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Ben Glocker

    1. Imperial College London, London, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Jianhua Yao

    1. National Institutes of Health, Bethesda, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Tomaž Vrtovec

    1. University of Ljubljana, Ljubljana, Slovenia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Alejandro Frangi

    1. University of Sheffield, Sheffield, UK

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Guoyan Zheng

    1. University of Bern, Bern, Switzerland

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10734)

Part of the book sub series: Computer Communication Networks and Telecommunications (LNCCN)

Included in the following conference series:

Conference proceedings info: MSKI 2017.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 60.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (13 papers)

  1. Front Matter

    Pages I-XII
    Download chapter PDF

  2. Localization of Bone Surfaces from Ultrasound Data Using Local Phase Information and Signal Transmission Maps

    • Ilker Hacihaliloglu
    Pages 1-11

  3. Shape-Aware Deep Convolutional Neural Network for Vertebrae Segmentation

    • S. M. Masudur Rahman Al Arif, Karen Knapp, Greg Slabaugh
    Pages 12-24

  4. Automated Characterization of Body Composition and Frailty with Clinically Acquired CT

    • Peijun Hu, Yuankai Huo, Dexing Kong, J. Jeffrey Carr, Richard G. Abramson, Katherine G. Hartley et al.
    Pages 25-35

  5. Unfolded Cylindrical Projection for Rib Fracture Diagnosis

    • Catalina Tobon-Gomez, Tyler Stroud, John Cameron, Dave Elcock, Andrew Murray, Daniel Wyeth et al.
    Pages 36-47

  6. 3D Cobb Angle Measurements from Scoliotic Mesh Models with Varying Face-Vertex Density

    • Uroš Petković, Robert Korez, Stefan Parent, Samuel Kadoury, Tomaž Vrtovec
    Pages 48-58

  7. Automatic Localization of the Lumbar Vertebral Landmarks in CT Images with Context Features

    • Dimitrios Damopoulos, Ben Glocker, Guoyan Zheng
    Pages 59-71

  8. Joint Multimodal Segmentation of Clinical CT and MR from Hip Arthroplasty Patients

    • Marta Bianca Maria Ranzini, Michael Ebner, M. Jorge Cardoso, Anastasia Fotiadou, Tom Vercauteren, Johann Henckel et al.
    Pages 72-84

  9. Reconstruction of 3D Muscle Fiber Structure Using High Resolution Cryosectioned Volume

    • Yoshito Otake, Kohei Miyamoto, Axel Ollivier, Futoshi Yokota, Norio Fukuda, Lauren J. O’Donnell et al.
    Pages 85-94

  10. Segmentation of Pathological Spines in CT Images Using a Two-Way CNN and a Collision-Based Model

    • Robert Korez, Boštjan Likar, Franjo Pernuš, Tomaž Vrtovec
    Pages 95-107

  11. Attention-Driven Deep Learning for Pathological Spine Segmentation

    • Anjany Sekuboyina, Jan Kukačka, Jan S. Kirschke, Bjoern H. Menze, Alexander Valentinitsch
    Pages 108-119

  12. Automatic Full Femur Segmentation from Computed Tomography Datasets Using an Atlas-Based Approach

    • Bryce A. Besler, Andrew S. Michalski, Nils D. Forkert, Steven K. Boyd
    Pages 120-132

  13. Classification of Osteoporotic Vertebral Fractures Using Shape and Appearance Modelling

    • Paul A. Bromiley, Eleni P. Kariki, Judith E. Adams, Timothy F. Cootes
    Pages 133-147

  14. DSMS-FCN: A Deeply Supervised Multi-scale Fully Convolutional Network for Automatic Segmentation of Intervertebral Disc in 3D MR Images

    • Guodong Zeng, Guoyan Zheng
    Pages 148-159

  15. Back Matter

    Pages 161-161
    Download chapter PDF
Back to top

Other volumes

  1. Computational Methods and Clinical Applications in Musculoskeletal 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 Musculoskeletal Imaging, MSKI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017.
The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. Topics of interest include all major aspects of musculoskeletal imaging, for example: clinical applications of musculoskeletal computational imaging; computer-aided detection and diagnosis of conditions of the bones, muscles and joints; image-guided musculoskeletal surgery and interventions; image-based assessment and monitoring of surgical and pharmacological treatment; segmentation, registration, detection, localization and visualization of the musculoskeletal anatomy; statistical and geometrical modeling of the musculoskeletal shape and appearance; image-based microstructural characterization of musculoskeletal tissue; novel techniques for musculoskeletal imaging.


Editors and Affiliations

  • Imperial College London, London, UK

    Ben Glocker

  • National Institutes of Health, Bethesda, USA

    Jianhua Yao

  • University of Ljubljana, Ljubljana, Slovenia

    Tomaž Vrtovec

  • University of Sheffield, Sheffield, UK

    Alejandro Frangi

  • University of Bern, Bern, Switzerland

    Guoyan Zheng

Bibliographic Information

  • Book Title: Computational Methods and Clinical Applications in Musculoskeletal Imaging

  • Book Subtitle: 5th International Workshop, MSKI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Revised Selected Papers

  • Editors: Ben Glocker, Jianhua Yao, Tomaž Vrtovec, Alejandro Frangi, Guoyan Zheng

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-74113-0

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Softcover ISBN: 978-3-319-74112-3Published: 10 January 2018

  • eBook ISBN: 978-3-319-74113-0Published: 26 January 2018

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 161

  • Number of Illustrations: 14 b/w illustrations, 65 illustrations in colour

  • Topics: Image Processing and Computer Vision, Artificial Intelligence, Computer Communication Networks

Publish with us

Policies and ethics

Back to top

Search

Navigation