beandeau>

Program > Tuesday June 3

7:30-8:15: Basic Concepts 2 (early-morning educational parallel sessions)

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)

  • 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)

  • 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)

 

14:45-15:15 Coffee Break

 

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

  • 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

 

Gala Dinner

 

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

(Poster Session 2, Tuesday June 3) 

 

Electrophysiology

  • Towards Validation of Two Computational Models of Artificial Pacemakers (Pannetier, Leguèbe,  Coudière, Walton, Fauré,  Setzu; IHU Liryc Bordeaux, France) 
  • Learning Cardiac Electrophysiology with Graph Neural Networks for Fast Data-Driven Personalised Prediction (Morier, Rodríguez Padilla, Gallinari, SermesanIHU Liryc Bordeaux, France) 
  • Frugal AI for Automated Cardiac Defibrillation: Balancing Performance & Hardware Constraints (Silva, Stehlé, Pétriat, Cadet, Tibi, Sermesant; IHU Liryc Bordeaux, France) 
  • A Fast Solver for the Complex Eikonal Equation to Initiate Cardiac Arrhythmias (Banduc, Pezzuto, Sahli Costabal; PUC, Santiago de Chile) 

Image and Shape Analysis

  • Population-Based Personalization of a 2D Diffusion-Based Model of Myocardial Infarct (Konik, Deleat-Besson, Clarysse, Duchateau; CREATIS Lyon, France) 
  • Uncertainty-Informed Multimodal Infarct Age Prediction from Imaging and Clinical Data (Fotso, Nuñez-Garcia, Ly,  Cochet, Sermesant; Inria, Sophia-Antipolis, France) 
  • 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) 
  • 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) 
  • 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)
  • Integrated Framework for Unified Cardiac and Vascular Mesh Construction from Medical Image (Sveinsson Cepero, Narayanan, Shadden) 
  • Single Image Multi-Endpoint Analysis using Deep Learning (Potnuru, Sudunagunta, Nguyen, Shames, Nelson; UT Arlington, TX, USA) 
  • Automated Global and Regional Segmentation of Cardiac Diffusion Tensor Images (Stocker, Cork, Hannum, Ennis; Stanford University, CA, USA)
  • 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)
  • Contribution of Point Prompts in Echocardiographic Segmentation (Liu, Ge, Xu;Zhejiang Normal University, Zhejiang, China)

Biomechanics

  • Modeling Adaptive Myofiber Reorientation in the Left Ventricle: Dependence on Geometry (van Kerkhof, Janssens, Bovendeerd; Eindhoven University of Technology, Eindhoven, The Netherlands) 
  • A Fast Computational Model for Studying Interventricular Interactions (Nguyen,Moulton, Secomb; University of Arizona, USA) 
  • A Modelling Study of Right Ventricular Dynamics with Valvular Regurgitation (Gao, Guan; University of Glasgow, UK) 
  • A theoretical Framework for Flow-Compatible Reconstruction of Heart Motion (Capuano, Loke, Yildiran, Olivieri, Balaras; Universitat Politècnica de Catalunya, Barcelona, Spain) 
  • A New Active Strain Model for Modelling Left Ventricular Contraction (Donaldson, Gao, Hill, Luo; University of Glasgow, UK) 
  • Diastolic Hemodynamics of the Human Mitral Valve Following Transcatheter Edge-to-Edge Repair (Ho Kim, Corpuz, Simonian, Hsu, Sacks; UT Austin, TX. USA) 
  • Towards Non-Invasive Estimation of Myocardial Scar Stiffness from Cardiac Strains Using Deep Learning (Mehdi, Kadivar, Serpooshan, Myers, Karniadakis, Avazmohammadi; Texas A&M, USA) 

Hemodynamics and CFD

  • Geometry Optimization of Idealized Total Cavopulmonary Connection Using a CFD-based Framework (Bures, Fucik, Chabiniok; Czech Technical University in Prague; Czech Republic) 
  • Parameter Estimation in Cardiac Fluid–Structure Interaction from Fluid and Solid Measurements (Arostica, Nolte, Bertoglio; University of Groningen, The Netherlands) 
  • 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) 
  • 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) 
  • 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) 
  • Intracardiac Hemodynamics Alteration in Myocardial Infarction (Neelakantan, Pinto, Babak Peighambari, Raza Mehdi, Myers, Avazmohammadi; Texas A&M, USA) 

 
Loading... Loading...