Conference Agenda

Session
TR10.8: Computational methods in biomechanics - Cardiovascular
Time:
Wednesday, 10/Jul/2019:
10:15am - 12:00pm

Session Chair: Estefania Peña
Session Chair: Rodrigo Maximiliano Romarowski
Location: HS 05

Presentations
10:15am - 10:30am

INDIRECT EVALUATION OF MATERIAL PROPERTIES OF LARGE BLOOD VESSELS BASED ON IN SILICO AND IN VITRO MODELS

B. M. Fanni1,2, E. Sauvage3, S. Schievano3, L. Landini2, S. Celi1, V. Positano1, C. Capelli3

1BioCardioLab, Fondazione Toscana Gabriele Monasterio, Italy; 2Department of Information Engineering, University of Pisa, Italy; 3UCL Institute of Cardiovascular Science, United Kingdom



10:30am - 10:45am

CHARACTERIZATION OF HETEROGENOUS MATERIAL PROPERTIES OF ATHEROSCLEROTIC PLAQUES WITH VIRTUAL FIELDS METHOD

R. van den Berg1,2, S. Avril3, F. Gijsen1, A. C. Akyildiz1

1Erasmus Medical Center, the Netherlands; 2Delft University of Technology, the Netherlands; 3Mines Saint-Etienne, France



10:45am - 11:00am

INVESTIGATION OF THE IMPACT OF THE ENDOTHELIAL SURFACE LAYER ON THE CAPILLARY VESSELS THROUGH MULTISCALE MODELING AND SIMULATIONS

V. Mitsoulas, K. Giannokostas, Y. Dimakopoulos, J. Tsamopoulos

University of Patras, Greece



11:00am - 11:15am

A COMPUTATIONAL STUDY ON THE DYNAMICS OF RED BLOOD CELLS IN MICRO-CHANNELS

A. N. Balachandran Nair, M. Saeedipour, S. Pirker

Department of Particulate Flow Modelling, Johannes Kepler University, Austria



11:15am - 11:30am

ASSESSING SMOOTHED PARTICLE HYDRODYNAMICS TO MODEL ADOLESCENT PATIENT-SPECIFIC DIASTOLIC BLOOD FLOW IN THE LEFT VENTRICLE

D. G. Owen1, K. Yan2, A. Kirkpatrick2, V. Rajagopal2, J. Mynard2,3, D. M. Espino1

1University of Birmingham, United Kingdom; 2University of Melbourne, Australia; 3Murdoch Childrens Research Institute



11:30am - 11:45am

ESTIMATION OF PATIENT-SPECIFIC CENTRAL HEMODYNAMIC INDICES FROM NONINVASIVE BRACHIAL PRESSURE AND PULSE WAVE VELOCITY

V. Bikia1, S. Pagoulatou1, B. Trachet1, D. Soulis2, A. D. Protogerou3, T. G. Papaioannou2, N. Stergiopulos1

1Swiss Federal Institute of Technology, Laboratory of Hemodynamics and Cardiovascular Technology, Lausanne, Switzerland; 2National and Kapodistrian University of Athens, "Hippokration" Hospital, Biomedical Engineering Unit, 1st Department of Cardiology, Athens, Greece; 3National and Kapodistrian University of Athens, Medical School, Department of Pathophysiology, Athens, Greece



11:45am - 12:00pm

STATISTICAL LEARNING FOR ESTIMATING CENTRAL SYSTOLIC BLOOD PRESSURE USING DATA FROM A SIMULATED ARTERIAL TREE MODEL

V. Bikia1, S. Pagoulatou1, P. Segers2, N. Stergiopulos1

1Swiss Federal Institute of Technology, Switzerland; 2IBiTech-bioMMeda, Universiteit Gent, Gent, Belgium