Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10555)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): CMMI: International Workshop on Computational Methods for Molecular Imaging, RAMBO: International Workshop on Reconstruction and Analysis of Moving Body Organs, SWITCH: Stroke Workshop on Imaging and Treatment Challenges
Conference proceedings info: CMMI 2017, RAMBO 2017, SWITCH 2017.
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Table of contents (18 papers)
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Front Matter
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Fifth International Workshop on Computational Methods for Molecular Imaging, CMMI 2017
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Front Matter
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Second International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2017
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Front Matter
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First International Stroke Workshop on Imaging and Treatment Challenges, SWITCH 2017
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Front Matter
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Other Volumes
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Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment
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.
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
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University College London , London, United Kingdom
M. Jorge Cardoso
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McGill University , Montreal, Canada
Tal Arbel
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Siemens Medical Solutions, Knoxville, USA
Fei Gao
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Imperial College London , London, United Kingdom
Bernhard Kainz
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Biomedical Imaging Group, Rotterdam, The Netherlands
Theo van Walsum, Roman Peter, Wiro Niessen
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Technical University Munich , Munich, Germany
Kuangyu Shi
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Visulytix Limited , London, United Kingdom
Kanwal K. Bhatia
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University College London, London, United Kingdom
Tom Vercauteren
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University of Bern , Bern, Switzerland
Mauricio Reyes
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Harvard Medical School , Boston, USA
Adrian Dalca
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University Hospital of Bern , Bern, Switzerland
Roland Wiest
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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