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© 2017

Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment

Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings

  • M. Jorge Cardoso
  • Tal Arbel
  • Fei Gao
  • Bernhard Kainz
  • Theo van Walsum
  • Kuangyu Shi
  • Kanwal K. Bhatia
  • Roman Peter
  • Tom Vercauteren
  • Mauricio Reyes
  • Adrian Dalca
  • Roland Wiest
  • Wiro Niessen
  • Bart J. Emmer
Conference proceedings RAMBO 2017, CMMI 2017, SWITCH 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10555)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 10555)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Fifth International Workshop on Computational Methods for Molecular Imaging, CMMI 2017

    1. Front Matter
      Pages 1-1
    2. Yuntao Yu, Pierre Decazes, Isabelle Gardin, Pierre Vera, Su Ruan
      Pages 3-12
    3. Ninon Burgos, Jorge Samper-González, Anne Bertrand, Marie-Odile Habert, Sébastien Ourselin, Stanley Durrleman et al.
      Pages 13-22
    4. Lina Xu, Giles Tetteh, Mona Mustafa, Jana Lipkova, Yu Zhao, Marie Bieth et al.
      Pages 23-30
    5. Zisha Zhong, Yusung Kim, John Buatti, Xiaodong Wu
      Pages 31-42
    6. Lei Bi, Jinman Kim, Ashnil Kumar, Dagan Feng, Michael Fulham
      Pages 43-51
  3. Second International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2017

    1. Front Matter
      Pages 53-53
    2. Tiancheng He, Ramiro Pino, Bin Teh, Stephen Wong, Zhong Xue
      Pages 55-65
    3. Bartłomiej W. Papież, Sir Michael Brady, Julia A. Schnabel
      Pages 66-74
    4. Bram Ruijsink, Esther Puyol-Antón, Muhammad Usman, Joshua  van  Amerom, Phuoc Duong, Mari Nieves Velasco Forte et al.
      Pages 86-95
    5. Serkan Çimen, Mathias Unberath, Alejandro Frangi, Andreas Maier
      Pages 96-104
    6. Yipeng Hu, Eli Gibson, Li-Lin Lee, Weidi Xie, Dean C. Barratt, Tom Vercauteren et al.
      Pages 105-115
    7. Steven McDonagh, Benjamin Hou, Amir Alansary, Ozan Oktay, Konstantinos Kamnitsas, Mary Rutherford et al.
      Pages 116-126
    8. Nicolas Basty, Darryl McClymont, Irvin Teh, Jürgen E. Schneider, Vicente Grau
      Pages 127-135
    9. Rosa-María Menchón-Lara, Javier Royuela-del-Val, Alejandro  Godino-Moya, Lucilio Cordero-Grande, Federico  Simmross-Wattenberg, Marcos Martín-Fernández et al.
      Pages 136-145
  4. First International Stroke Workshop on Imaging and Treatment Challenges, SWITCH 2017

    1. Front Matter
      Pages 147-147
    2. E. Ferdian, A. M. Boers, L. F. Beenen, B. M. Cornelissen, I. G. Jansen, K. M. Treurniet et al.
      Pages 149-157
    3. Yiming Xiao, Ali Alamer, Vladimir Fonov, Benjamin W. Y. Lo, Donatella Tampieri, D. Louis Collins et al.
      Pages 158-167

About these proceedings

Introduction

This book constitutes the refereed joint proceedings of the International Workshop on Computational Methods for Molecular Imaging, CMMI 2017, the International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2017, and the International Stroke Workshop: Imaging and Treatment Challenges, SWITCH 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017.

The 5 full papers presented at FIFI 2017, the 9 full papers presented at RAMBO 2017, and the 4 full papers presented at SWITCH 2017 were carefully reviewed and selected. The CMMI papers cover various areas from image synthesis to data analysis and from clinical diagnosis to therapy individualization, using molecular imaging modalities PET, SPECT, PET/CT, SPECT/CT, and PET/MR. The RAMBO papers present research from both academia and industry, They are organized into the categories "registration and tracking" and "image reconstruction and information retrieval" while application areas include cardiac, pulmonal, abdominal, fetal, and renal imaging. The SWITCH papers focus on CT(A)-based quantitative imaging biomarkers for stroke.



Keywords

artificial intelligence computer vision estimation image analysis image coding image enhancement image processing image quality image reconstruction image segmentation learning systems machine learning machine learning techniques medical imaging motion compensation motion estimation neural networks pattern recognition reconstruction Support Vector Machines (SVM)

Editors and affiliations

  1. 1.University College London LondonUnited Kingdom
  2. 2.McGill University MontrealCanada
  3. 3.Siemens Medical SolutionsKnoxvilleUSA
  4. 4.Imperial College London LondonUnited Kingdom
  5. 5.Biomedical Imaging GroupRotterdamThe Netherlands
  6. 6.Technical University Munich MunichGermany
  7. 7.Visulytix Limited LondonUnited Kingdom
  8. 8.Biomedical Imaging GroupRotterdamThe Netherlands
  9. 9.University College LondonLondonUnited Kingdom
  10. 10.University of Bern BernSwitzerland
  11. 11.Harvard Medical School BostonUSA
  12. 12.University Hospital of Bern BernSwitzerland
  13. 13.Biomedical Imaging GroupRotterdamThe Netherlands
  14. 14.Academic Medical Center AmsterdamThe Netherlands

Bibliographic information

  • Book Title Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment
  • Book Subtitle Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings
  • Editors M. Jorge Cardoso
    Tal Arbel
    Fei Gao
    Bernhard Kainz
    Theo van Walsum
    Kuangyu Shi
    Kanwal K. Bhatia
    Roman Peter
    Tom Vercauteren
    Mauricio Reyes
    Adrian Dalca
    Roland Wiest
    Wiro Niessen
    Bart J. Emmer
  • Series Title Lecture Notes in Computer Science
  • Series Abbreviated Title Lect.Notes Computer
  • DOI https://doi.org/10.1007/978-3-319-67564-0
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-3-319-67563-3
  • eBook ISBN 978-3-319-67564-0
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages XV, 186
  • Number of Illustrations 74 b/w illustrations, 0 illustrations in colour
  • Topics Image Processing and Computer Vision
    Pattern Recognition
    Artificial Intelligence
    Health Informatics
    Information Storage and Retrieval
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