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Program > Tuesday June 3

7:30-8:15: Basic Concepts 2 

(Vivian Nguyen, Anusha Kididhi, Lauren Thai, Pezad Doctor, Cicero Willis-Pineda)

E2-A: Ischemic Heart Disease; Arrhythmias

E2-B: Invasive Approaches (Cathlab, EP Lab)

 

8:30-9:30 Keynote 3

Adrienne Campbell-Washburn: “The Golden Bird and the Proper Cage”

Talk Summary: No radiation and high reproducibility make magnetic resonance imaging (MRI) an invaluable modality also suitable for regular follow-up of long-term disease progress. Stronger magnetic field, allowing higher resolution, may not be actual advantage in functional assessment of heart.  How does the development of low-field MRI enable detailed functional assessment to become widely clinically accessible? Does a low-field MRI provide a key advantage in MR image guided heart interventions? In addition, can functional lung imaging allow us to assess left atrial pressure and cardiopulmonary physiology? Could we infer pre- versus post-capillary pulmonary arterial hypertension?

 

9:30-10:10 Model-Enhanced Data Acquisition and Processing (Oral 4)

Chairs: Simona Celi (Fondazione Monasterio, Pisa, Italy);  Luigi Perotti (University of Central Florida, Orlando, FL, USA)

  • Parameter Estimation in Blood Flow Models from k-space Undersampled MRI Data (Locke, van Ooij, Bertoglio; University of Groningen, The Netherlands)
  • Motion tracking with Finite Elements Meshes and Image Models (Alvarez-Barrientos, Skardova, Genet; Ecole Polytechnique, France)

 

 10:10-10:40 Coffee Break

 

10:45-12:15 Multiscale & Multimodality Imaging (Oral 5)

Chairs: Patrick Clarysse (CNRS, CREATIS Lyon, France); Alistair Young (King’s College London, UK)

  • Nuclear Patterning of Developing Cells in Murine Ventricular Heart Walls (Syed, Ellwood, Dileep, S, Sirajuddin, Siddiqi; McGill Universtiy, Canada)
  • Large Deformation Diffeomorphic Cardiac Strain Mapping (Moscoloni, Segers, Peirlinck; Delft University of Technology, The Netherlands)
  • Progressive Microstructural Remodeling in the Infarcted Left Ventricle Analyzed by Diffusion Tensor MRI (Mendiola, Xiang, Serpooshan, Myers, Vanderslice, Avazmohammadi; Texas A&M, USA)
  • ∆-PoIssoNN: Learning Atrial Activation Map from the ECG with Physics-Informed Neural Networks (Magaña, Zappon, Plank, Pezzuto, Sahli Costabal; PUC, Santiago de Chile) 
  • Myocardial Stiffness Quantification using Ultrasound Shear Wave Elastography and Reduced Modeling for Subject-specific Simulations (Ferrario, Padilla, Venet, Villemain, Sermesant; Inria, Sophia-Antipolis, France)

 

12:15-13:15 Lunch

 

13:15-14:45 Advances in Cardiovascular Research through FIMH (Poster 2)

Chairs: Francois Kimmig (Inria, Palaiseau, France); Mary Maleckar (Simula Research Laboratory, Oslo, Norway); Martyn Nash (University of Auckland, New Zealand); Pierre-Frederic Villard (University of Lorraine, France)

 

14:45-15:15 Coffee Break

 

15:15-16:45 Image Processing and Visualization (Oral 6)

Chairs: Mathias Peirlinck (Delft University of Technology, The Netherlands); Debbie Zhao (University of Auckland, New Zealand)

  • An Automatic Self-supervised Phase-based Approach to Aligned Long Axis Strain Measurements in Four Chamber Cardiac Magnetic Resonance (Mueller, Kiekenap, Koehler, Andre, Frey, Greil, Hussain, Wolf, Engelhardt; Heidelberg University Hospital, Germany)
  • Evaluating Cardiac Strains from One and Two Short-Axis Slice Models Based on Cine and DENSE MRI (Delavald Marques, Naqizadeh Jahromi, Wellner, Hannum, Liu, Wu, Ennis, Perotti; University of Central Florida, Orlando, FL, USA)
  • Evaluating the Effect of Post-Processing Steps When Analyzing Cardiac Diffusion Tensor Data (Cork, Hannum, Loecher, Perotti, Ennis; Stanford University, CA, USA)
  • A Pediatric Cardiac Shape Atlas: Insights into the Structure of Young Healthy Hearts (Qi, Young, Yu, Crabb, Schuchardt, Hegde, Mauger, Young, Omens, McCulloch, Narayan; UC San Diego, La Jolla, CA, USA)
  • Streamlining 4D Cardiac Image Workflows: Open-Source Tools for Segmentation, Registration, and Visualization (Hao, Yushkevich, Dong, Amin, Guo, Yushkevich, Aggarwal, Pouch; University of Pennsylvania, Philadelphia PA, USA)

 

16:45-17:45 PC Meeting

 

19:30-23:30 Gala Dinner in Perot Museum of Nature and Science (one of the most beautiful buildings in the Dallas Center) at  2201 N. Field Street, Dallas, TX 75201

 

Advances in Cardiovascular Research through Functional Imaging and Modeling of the Heart 

(Poster Session 2, Tuesday June 3) 

 

Electrophysiology

T-EP-1: Towards Validation of Two Computational Models of Artificial Pacemakers (Pannetier, Leguèbe,  Coudière, Walton, Fauré,  Setzu; IHU Liryc Bordeaux, France) 

T-EP-2: Learning Cardiac Electrophysiology with Graph Neural Networks for Fast Data-Driven Personalised Prediction (Morier, Rodríguez Padilla, Gallinari, SermesanIHU Liryc Bordeaux, France) 

T-EP-3: Frugal AI for Automated Cardiac Defibrillation: Balancing Performance & Hardware Constraints (Silva, Stehlé, Pétriat, Cadet, Tibi, Sermesant; IHU Liryc Bordeaux, France) 

T-EP-4: A Fast Solver for the Complex Eikonal Equation to Initiate Cardiac Arrhythmias (Banduc, Pezzuto, Sahli Costabal; PUC, Santiago de Chile) 

Image and Shape Analysis

T-IMG-1: Population-Based Personalization of a 2D Diffusion-Based Model of Myocardial Infarct (Konik, Deleat-Besson, Clarysse, Duchateau; CREATIS Lyon, France) 

T-IMG-2: Uncertainty-Informed Multimodal Infarct Age Prediction from Imaging and Clinical Data (Fotso, Nuñez-Garcia, Ly,  Cochet, Sermesant; Inria, Sophia-Antipolis, France) 

T-IMG-3: Investigating the Domain Adaptability of General-Purpose Foundation Models for Left Atrium Segmentation from Magnetic Resonance Images (Kundu, Khanal, Simon, Linte; Rochester Institute of Technology, NY, USA)

T-IMG-4: Integrated Framework for Unified Cardiac and Vascular Mesh Construction from Medical Image (Sveinsson Cepero, Narayanan, Shadden) 

T-IMG-5: Contribution of Point Prompts in Echocardiographic Segmentation (Liu, Ge, Xu;Zhejiang Normal University, Zhejiang, China)

T-IMG-6: Three-Dimensional Whole Heart Shape Reconstruction for Wearable Ultrasound Patches: A Deep Learning Approach and Experimental Study (Qiu, Chen, Li, Chen, Ge, Xu; Zhejiang Normal University, China)

T-IMG-7: Single Image Multi-Endpoint Analysis using Deep Learning (Potnuru, Sudunagunta, Nguyen, Shames, Nelson; UT Arlington, TX, USA) 

T-IMG-8: Automated Global and Regional Segmentation of Cardiac Diffusion Tensor Images (Stocker, Cork, Hannum, Ennis; Stanford University, CA, USA)

T-IMG-9: Deep Learning-Based Thoracic Aorta Segmentation from 4D Flow MRI: Methods Comparison (Silva-Faria, Guo, Redheuil, Leite, Parker, Nguyen, Bouazizi-Verdier, Dietenbeck, Bouaou, Houriez-Gombaud-Saintonge, Gencer, Mousseaux, Soulat, Bollache, Kachenoura; Universite Paris Sorbonne, France) 

T-IMG-10: Description of the Local Arrangement of Laminar Structure in Human Left Ventricular Free Wall Using X-ray Phase-Contrast Micro-tomography (Li, Wang, Jing, Yuan, Li, Varray, Clarysse; Harbin Institute of Technology, China)

Biomechanics

T-BM-1: Modeling Adaptive Myofiber Reorientation in the Left Ventricle: Dependence on Geometry (van Kerkhof, Janssens, Bovendeerd; Eindhoven University of Technology, Eindhoven, The Netherlands) 

T-BM-2: A Fast Computational Model for Studying Interventricular Interactions (Nguyen,Moulton, Secomb; University of Arizona, USA) 

T-BM-3: A theoretical Framework for Flow-Compatible Reconstruction of Heart Motion (Capuano, Loke, Yildiran, Olivieri, Balaras; Universitat Politècnica de Catalunya, Barcelona, Spain) 

T-BM-4: Diastolic Hemodynamics of the Human Mitral Valve Following Transcatheter Edge-to-Edge Repair (Ho Kim, Corpuz, Simonian, Hsu, Sacks; UT Austin, TX. USA) 

T-BM-5: A New Active Strain Model for Modelling Left Ventricular Contraction (Donaldson, Gao, Hill, Luo; University of Glasgow, UK) 

T-BM-6: Towards Non-Invasive Estimation of Myocardial Scar Stiffness from Cardiac Strains Using Deep Learning (Mehdi, Kadivar, Serpooshan, Myers, Karniadakis, Avazmohammadi; Texas A&M, USA) 

T-BM-7: A Modelling Study of Right Ventricular Dynamics with Valvular Regurgitation (Gao, Guan; University of Glasgow, UK) 

Hemodynamics and CFD

T-CFD-1: Parameter Estimation in Cardiac Fluid–Structure Interaction from Fluid and Solid Measurements (Arostica, Nolte, Bertoglio; University of Groningen, The Netherlands) 

T-CFD-2: Geometry Optimization of Idealized Total Cavopulmonary Connection Using a CFD-based Framework (Bures, Fucik, Chabiniok; Czech Technical University in Prague; Czech Republic) 

T-CFD-3: An Experimental Setup for the Analysis of Patient-Specific Left Atrial Appendage with Particle Image Velocimetry Investigation (Gasparotti, Vignali, Marangoni, Mill, Olivares, Lucas, Barrouhou, Camara, Celi; Fondazione Monasterio, Pisa, Italy) 

T-CFD-4: Multi-Therapeutic Modelling for Stroke Prevention in Atrial Fibrillation: Impact of the Pulmonary Ridge  (Segarra, Molla, Barrouhou Berrouhou, Ribera, Albors, Olivares, Mill, Camara; UPF Barcelona, Spain) 

T-CFD-5: Left Ventricle Hemodynamic Force Analysis to Assess Cardiac Functional Changes in Obstructive Hypertrophic Cardiomyopathy(Nimmo, Herry, Pedrizzetti, Abraham, Rugonyi; Oregon Health & Science University, Portland, OR, USA) 

T-CFD-6: Intracardiac Hemodynamics Alteration in Myocardial Infarction (Neelakantan, Pinto, Babak Peighambari, Raza Mehdi, Myers, Avazmohammadi; Texas A&M, USA) 

 

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