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Functional Imaging and Modelling of the Heart

9th International Conference, FIMH 2017, Toronto, ON, Canada, June 11-13, 2017, Proceedings

  • Conference proceedings
  • © 2017

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Editors:
  1. Mihaela Pop

    1. University of Toronto, Toronto, Canada

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    You can also search for this editor in PubMed   Google Scholar

  2. Graham A Wright

    1. University of Toronto , Toronto, Canada

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    You can also search for this editor in PubMed   Google Scholar

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)

Included in the following conference series:

Conference proceedings info: FIMH 2017.

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Table of contents (48 papers)

  1. Front Matter

    Pages I-XVI
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  2. Novel Imaging and Analysis Methods for Myocardial Tissue Characterization and Remodelling

    1. Front Matter

      Pages 1-1
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    2. Three-Dimensional Quantification of Myocardial Collagen Morphology from Confocal Images

      • Abdallah I. Hasaballa, Gregory B. Sands, Alexander J. Wilson, Alistair A. Young, Vicky Y. Wang, Ian J. LeGrice et al.
      Pages 3-12

    3. In Vivo Parametric T1 Maps Correlate with Structural and Molecular Characteristics of Focal Fibrosis

      • Mihaela Pop, Samuel Oduneye, Li Zhang, Susan Newbigging, Graham Wright
      Pages 13-22

    4. Microstructural Analysis of Cardiac Endomyocardial Biopsies with Synchrotron Radiation-Based X-Ray Phase Contrast Imaging

      • Hector Dejea, Patricia Garcia-Canadilla, Marco Stampanoni, Monica  Zamora, Fatima Crispi, Bart Bijnens et al.
      Pages 23-31

    5. Cartan Frames for Heart Wall Fiber Motion

      • Babak Samari, Tristan Aumentado-Armstrong, Gustav Strijkers, Martijn Froeling, Kaleem Siddiqi
      Pages 32-41

    6. Robust Model-Based Registration of Cardiac MR Images for T1 and ECV Mapping

      • Sofie Tilborghs, Tom Dresselaers, Piet Claus, Guido Claessen, Jan Bogaert, Frederik Maes et al.
      Pages 42-50

    7. Improving Understanding of Long-Term Cardiac Functional Remodelling via Cross-Sectional Analysis of Polyaffine Motion Parameters

      • Kristin McLeod, Maxime Sermesant, Xavier Pennec
      Pages 51-59

  3. Advanced Cardiac Image Analysis Tools for Diagnostic and Interventions

    1. Front Matter

      Pages 61-61
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    2. Multi-cycle Reconstruction of Cardiac MRI for the Analysis of Inter-ventricular Septum Motion During Free Breathing

      • Teodora Chitiboi, Rebecca Ramb, Li Feng, Eve Piekarski, Lennart Tautz, Anja Hennemuth et al.
      Pages 63-72

    3. Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images

      • Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach et al.
      Pages 73-82

    4. Using Atlas Prior with Graph Cut Methods for Right Ventricle Segmentation from Cardiac MRI

      • Shusil Dangi, Cristian A. Linte
      Pages 83-94

    5. Image Segmentation and Modeling of the Pediatric Tricuspid Valve in Hypoplastic Left Heart Syndrome

      • Alison M. Pouch, Ahmed H. Aly, Andras Lasso, Alexander V. Nguyen, Adam B. Scanlan, Francis X. McGowan et al.
      Pages 95-105

    6. Strain-Based Parameters for Infarct Localization: Evaluation via a Learning Algorithm on a Synthetic Database of Pathological Hearts

      • Gerardo Kenny Rumindo, Nicolas Duchateau, Pierre Croisille, Jacques Ohayon, Patrick Clarysse
      Pages 106-114

    7. Towards Cognition-Guided Patient-Specific FEM-Based Cardiac Surgery Simulation

      • Nicolai Schoch, Vincent Heuveline
      Pages 115-126

    8. FastVentricle: Cardiac Segmentation with ENet

      • Jesse Lieman-Sifry, Matthieu Le, Felix Lau, Sean Sall, Daniel Golden
      Pages 127-138

    9. Slice-to-Volume Image Registration Models for MRI-Guided Cardiac Procedures

      • L. W. Lorraine Ma, Mehran Ebrahimi
      Pages 139-151

    10. Random Forest Based Left Ventricle Segmentation in LGE-MRI

      • Tanja Kurzendorfer, Christoph Forman, Alexander Brost, Andreas Maier
      Pages 152-160

    11. A Multiple Kernel Learning Framework to Investigate the Relationship Between Ventricular Fibrillation and First Myocardial Infarction

      • Maciej Marciniak, Hermenegild Arevalo, Jacob Tfelt-Hansen, Kiril A. Ahtarovski, Thomas Jespersen, Reza Jabbari et al.
      Pages 161-171

    12. Real-Time Guiding Catheter and Guidewire Detection for Congenital Cardiovascular Interventions

      • YingLiang Ma, Mazen Alhrishy, Maria Panayiotou, Srinivas Ananth Narayan, Ansab Fazili, Peter Mountney et al.
      Pages 172-182
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  1. Functional Imaging and Modelling of the Heart

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About this book

This book constitutes the refereed proceedings of the 9th International Conference on Functional Imaging and Modeling of the Heart, held in Toronto, ON, Canada, in June 2017.

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

  • University of Toronto, Toronto, Canada

    Mihaela Pop

  • University of Toronto , Toronto, Canada

    Graham A Wright

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