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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

  • Conference proceedings
  • © 2017

Overview

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

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Table of contents (18 papers)

  1. Fifth International Workshop on Computational Methods for Molecular Imaging, CMMI 2017

  2. Second International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2017

  3. First International Stroke Workshop on Imaging and Treatment Challenges, SWITCH 2017

Other volumes

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

Keywords

About this book

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.



Editors and Affiliations

  • University College London , London, United Kingdom

    M. Jorge Cardoso

  • McGill University , Montreal, Canada

    Tal Arbel

  • Siemens Medical Solutions, Knoxville, USA

    Fei Gao

  • Imperial College London , London, United Kingdom

    Bernhard Kainz

  • Biomedical Imaging Group, Rotterdam, The Netherlands

    Theo van Walsum, Roman Peter, Wiro Niessen

  • Technical University Munich , Munich, Germany

    Kuangyu Shi

  • Visulytix Limited , London, United Kingdom

    Kanwal K. Bhatia

  • University College London, London, United Kingdom

    Tom Vercauteren

  • University of Bern , Bern, Switzerland

    Mauricio Reyes

  • Harvard Medical School , Boston, USA

    Adrian Dalca

  • University Hospital of Bern , Bern, Switzerland

    Roland Wiest

  • Academic Medical Center , Amsterdam, The Netherlands

    Bart J. Emmer

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

  • DOI: https://doi.org/10.1007/978-3-319-67564-0

  • Publisher: Springer Cham

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

  • Copyright Information: Springer International Publishing AG 2017

  • Softcover ISBN: 978-3-319-67563-3Published: 09 September 2017

  • eBook ISBN: 978-3-319-67564-0Published: 06 September 2017

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XV, 186

  • Number of Illustrations: 74 b/w illustrations

  • Topics: Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence, Health Informatics, Information Storage and Retrieval

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