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Computational Methods and Clinical Applications in Musculoskeletal Imaging

6th International Workshop, MSKI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Tomaž Vrtovec

    1. University of Ljubljana, Ljubljana, Slovenia

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  2. Jianhua Yao

    1. Tencent, Shenzhen, China

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  3. Guoyan Zheng

    1. University of Bern, Bern, Switzerland

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  4. Jose M. Pozo

    1. University of Leeds, Leeds, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11404)

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

Included in the following conference series:

Conference proceedings info: MSKI 2018.

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Table of contents (13 papers)

  1. Front Matter

    Pages I-XII
    Download chapter PDF

  2. Automated Recognition of Erector Spinae Muscles and Their Skeletal Attachment Region via Deep Learning in Torso CT Images

    • Naoki Kamiya, Masanori Kume, Guoyan Zheng, Xiangrong Zhou, Hiroki Kato, Huayue Chen et al.
    Pages 1-10

  3. Fully Automatic Teeth Segmentation in Adult OPG Images

    • Nicolás Vila Blanco, Timothy F. Cootes, Claudia Lindner, Inmaculada Tomás Carmona, Maria J. Carreira
    Pages 11-21

  4. Fully Automatic Planning of Total Shoulder Arthroplasty Without Segmentation: A Deep Learning Based Approach

    • Paul Kulyk, Lazaros Vlachopoulos, Philipp Fürnstahl, Guoyan Zheng
    Pages 22-34

  5. Deep Volumetric Shape Learning for Semantic Segmentation of the Hip Joint from 3D MR Images

    • Guodong Zeng, Guoyan Zheng
    Pages 35-48

  6. Pelvis Segmentation Using Multi-pass U-Net and Iterative Shape Estimation

    • Chunliang Wang, Bryan Connolly, Pedro Filipe de Oliveira Lopes, Alejandro F. Frangi, Örjan Smedby
    Pages 49-57

  7. Bone Adaptation as Level Set Motion

    • Bryce A. Besler, Leigh Gabel, Lauren A. Burt, Nils D. Forkert, Steven K. Boyd
    Pages 58-72

  8. Landmark Localisation in Radiographs Using Weighted Heatmap Displacement Voting

    • Adrian K. Davison, Claudia Lindner, Daniel C. Perry, Weisang Luo, Medical Student Annotation Collaborative, Timothy F. Cootes
    Pages 73-85

  9. Perthes Disease Classification Using Shape and Appearance Modelling

    • Adrian K. Davison, Timothy F. Cootes, Daniel C. Perry, Weisang Luo, Medical Student Annotation Collaborative, Claudia Lindner
    Pages 86-98

  10. Deep Learning Based Rib Centerline Extraction and Labeling

    • Matthias Lenga, Tobias Klinder, Christian Bürger, Jens von Berg, Astrid Franz, Cristian Lorenz
    Pages 99-113

  11. Automatic Detection of Wrist Fractures From Posteroanterior and Lateral Radiographs: A Deep Learning-Based Approach

    • Raja Ebsim, Jawad Naqvi, Timothy F. Cootes
    Pages 114-125

  12. Bone Reconstruction and Depth Control During Laser Ablation

    • Uri Nahum, Azhar Zam, Philippe C. Cattin
    Pages 126-135

  13. Automated Dynamic 3D Ultrasound Assessment of Developmental Dysplasia of the Infant Hip

    • Olivia Paserin, Kishore Mulpuri, Anthony Cooper, Antony J. Hodgson, Rafeef Garbi
    Pages 136-145

  14. Automated Measurement of Pelvic Incidence from X-Ray Images

    • Robert Korez, Michael Putzier, Tomaž Vrtovec
    Pages 146-152

  15. Back Matter

    Pages 153-153
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Other volumes

  1. Computational Methods and Clinical Applications in Musculoskeletal Imaging

Keywords

About this book

This book constitutes the refereed proceedings of the 6th International Workshop on Computational Methods and Clinical Applications for Musculoskeletal Imaging, MSKI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018.

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 formusculoskeletal imaging.

Editors and Affiliations

  • University of Ljubljana, Ljubljana, Slovenia

    Tomaž Vrtovec

  • Tencent, Shenzhen, China

    Jianhua Yao

  • University of Bern, Bern, Switzerland

    Guoyan Zheng

  • University of Leeds, Leeds, UK

    Jose M. Pozo

Bibliographic Information

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

  • Book Subtitle: 6th International Workshop, MSKI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers

  • Editors: Tomaž Vrtovec, Jianhua Yao, Guoyan Zheng, Jose M. Pozo

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-11166-3

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2019

  • Softcover ISBN: 978-3-030-11165-6Published: 09 January 2019

  • eBook ISBN: 978-3-030-11166-3Published: 08 January 2019

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 153

  • Number of Illustrations: 11 b/w illustrations, 63 illustrations in colour

  • Topics: Image Processing and Computer Vision, Artificial Intelligence, Health Informatics

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