Editors:
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10263)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
Conference series link(s): FIMH: International Conference on Functional Imaging and Modeling of the Heart
Conference proceedings info: FIMH 2017.
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Table of contents (48 papers)
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Front Matter
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Novel Imaging and Analysis Methods for Myocardial Tissue Characterization and Remodelling
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Front Matter
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Advanced Cardiac Image Analysis Tools for Diagnostic and Interventions
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Front Matter
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About this book
The 48 revised full papers were carefully reviewed and selected from 63 submissions. The focus of the papers is on following topics: novel imaging and analysis methods for myocardial tissue characterization and remodeling; advanced cardiac image analysis tools for diagnostic and interventions; electrophysiology: mapping and biophysical modeling; biomechanics and flow: modeling and tissue property measurements.
Editors and Affiliations
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University of Toronto, Toronto, Canada
Mihaela Pop
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University of Toronto , Toronto, Canada
Graham A Wright
Bibliographic Information
Book Title: Functional Imaging and Modelling of the Heart
Book Subtitle: 9th International Conference, FIMH 2017, Toronto, ON, Canada, June 11-13, 2017, Proceedings
Editors: Mihaela Pop, Graham A Wright
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-59448-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-59447-7Published: 23 May 2017
eBook ISBN: 978-3-319-59448-4Published: 22 May 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 517
Number of Illustrations: 233 b/w illustrations
Topics: Image Processing and Computer Vision, Artificial Intelligence, Computational Biology/Bioinformatics, Computer Graphics, Cardiology, Imaging / Radiology