Functional Imaging and Modeling of the Heart

1. Front Matter

   Pages I-XIV

   PDF

2. Function

   1. Front Matter

      Pages 1-1

      PDF

   2. Learning a Global Descriptor of Cardiac Motion from a Large Cohort of 1000+ Normal Subjects

      • Wenjia Bai, Devis Peressutti, Ozan Oktay, Wenzhe Shi, Declan P. O’Regan, Andrew P. King et al.

      Pages 3-11

   3. Steps Towards Quantification of the Cardiological Stress Exam

      • R. Chabiniok, E. Sammut, M. Hadjicharalambous, L. Asner, D. Nordsletten, R. Razavi et al.

      Pages 12-20

   4. Personalization of Atrial Electrophysiology Models from Decapolar Catheter Measurements

      • Cesare Corrado, Steven Williams, Henry Chubb, Mark O’Neill, Steven A. Niederer

      Pages 21-28

   5. Automatic LV Feature Detection and Blood-Pool Tracking from Multi-plane TEE Time Series

      • Shusil Dangi, Yehuda K. Ben-Zikri, Yechiel Lamash, Karl Q. Schwarz, Cristian A. Linte

      Pages 29-39

   6. Assessment of Septal Motion Abnormalities in Left Bundle Branch Block Patients Using Computer Simulations

      • Peter R. Huntjens, John Walmsley, Vincent Wu, Tammo Delhaas, Leon Axel, Joost Lumens

      Pages 40-47

   7. Quantifying Structural and Functional Differences Between Normal and Fibrotic Ventricles

      • Prashanna Khwaounjoo, Ian J. LeGrice, Mark L. Trew, Bruce H. Smaill

      Pages 48-56

   8. Sparsity and Biomechanics Inspired Integration of Shape and Speckle Tracking for Cardiac Deformation Analysis

      • Nripesh Parajuli, Colin B. Compas, Ben A. Lin, Smita Sampath, Matthew O’Donnell, Albert J. Sinusas et al.

      Pages 57-64

   9. Characterization of Myocardial Velocities by Multiple Kernel Learning: Application to Heart Failure with Preserved Ejection Fraction

      • Sergio Sanchez-Martinez, Nicolas Duchateau, Bart Bijnens, Tamás Erdei, Alan Fraser, Gemma Piella

      Pages 65-73

   10. Quantitative Analysis of Lead Position vs. Correction of Electrical Dyssynchrony in an Experimental Model of LBBB/CRT

       • David Soto-Iglesias, Nicolas Duchateau, Constantine Butakoff, David Andreu, Juan Fernández-Armenta, Bart Bijnens et al.

       Pages 74-82

   11. Principal Component Analysis for the Classification of Cardiac Motion Abnormalities Based on Echocardiographic Strain and Strain Rate Imaging

       • Mahdi Tabassian, Martino Alessandrini, Luca De Marchi, Guido Masetti, Nicholas Cauwenberghs, Tatiana Kouznetsova et al.

       Pages 83-90

   12. Prediction of Clinical Information from Cardiac MRI Using Manifold Learning

       • Haiyan Wang, Wenzhe Shi, Wenjia Bai, Antonio M. Simoes Monteiro de Marvao, Timothy J. W. Dawes, Declan P. O’Regan et al.

       Pages 91-98

   13. Revealing Differences in Anatomical Remodelling of the Systemic Right Ventricle

       • Ernesto Zacur, James Wong, Reza Razavi, Tal Geva, Gerald Greil, Pablo Lamata

       Pages 99-107

3. Imaging

   1. Front Matter

      Pages 109-109

      PDF

   2. Assessment of Myofiber Orientation in High Resolution Phase-Contrast CT Images

      • V. Baličević, S. Lončarić, R. Cárdenes, A. Gonzalez-Tendero, B. Paun, F. Crispi et al.

      Pages 111-119

   3. Sensitivity Analysis of Diffusion Tensor MRI in Simulated Rat Myocardium

      • Joanne Bates, Irvin Teh, Peter Kohl, Jürgen E. Schneider, Vicente Grau

      Pages 120-128

   4. 3D Farnebäck Optic Flow for Extended Field of View of Echocardiography

      • A. Danudibroto, O. Gerard, M. Alessandrini, O. Mirea, J. D’hooge, E. Samset

      Pages 129-136

   5. Towards Automatic Assessment of the Mitral Valve Coaptation Zone from 4D Ultrasound

      • Sandy Engelhardt, Nils Lichtenberg, Sameer Al-Maisary, Raffaele De Simone, Helmut Rauch, Jens Roggenbach et al.

      Pages 137-145

   6. Field-Based Parameterisation of Cardiac Muscle Structure from Diffusion Tensors

      • Bianca Freytag, Vicky Y. Wang, G. Richard Christie, Alexander J. Wilson, Gregory B. Sands, Ian J. LeGrice et al.

      Pages 146-154

This book constitutes the refereed proceedings of the 8th International Conference on Functional Imaging and Modeling of the Heart, held in Maastricht, The Netherlands, in June 2015. The 54 revised full papers were carefully reviewed and selected from 72 submissions. The focus of the papers is on following topics: function; imaging; models of mechanics; and models of electrophysiology.

• 3D ultrasound
• SVMs
• biomedical engineering
• biophysical modeling
• cardiac MR imaging
• cardiac function
• cardiology
• cardiovascular modeling
• cardiovascular system
• computational cardiology
• echocardiography
• heart
• image analysis
• image segmentation
• imaging
• mathematical modeling
• patient-specific modeling
• physiology
• statistical analysis
• ultrasound image analysis

• Eindhoven University of Technology, Eindhoven, The Netherlands

  Hans van Assen, Peter Bovendeerd

• Maastricht University, Maastricht, The Netherlands

  Tammo Delhaas

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