Conference Agenda

Overview and session details of the ESB2023 congress.
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Session Overview
Session
Poster session III: Patient-specific modelling
Time:
Wednesday, 12/July/2023:
13:15 - 14:15

Location: Expo Hall


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Presentations
ID: 280

MULTI-SCALE CORONARY SIMULATION PIPELINE: VALIDATION AGAINST INTRAVASCULAR VELOCITY AND PRESSURE

A. A. Seresti1, A. L. Marsden2, A. M. Kahn3, M. O. Khan1

1Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University, Canada; 2Department of Pediatrics, Stanford University, Stanford, CA, USA; 3Division of Cardiovascular Medicine, University of California San Diego, La Jolla, CA, USA

ESB2023__Seresti_280.pdf


ID: 491

TUNING PATIENT-SPECIFIC CORONARY LUMPED PARAMETER MODELS IN PRESENCE OF SEVERE AORTIC STENOSIS

D. Fernández-Martínez1, J. M. Nogales-Asensio2, M. R. González-Fernández2, C. Ferrera1

1Department of Mechanical, Energy and Materials Engineering,University of Extremadura, Spain; 2Hemodynamics and Interventional Cardiology Section, University Hospital of Badajoz, Spain

ESB2023__Fernández-Martínez_491.pdf


ID: 548

PATIENT-SPECIFIC ANALYSIS OF THE HAEMODYNAMIC FACTORS CONTRIBUTING TO RESTENOSIS IN PERIPHERAL ARTERIAL DISEASE

F. Ninno1,2, A. Dardik3,4, D. Strosberg3,4, J. Tsui5,6, S. Balabani2,7, V. Diaz-Zuccarini2,7

1Dept of Med Physics and Biomedical Engineering, UCL, UK; 2Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), UCL, UK; 3Yale University School of Medicine, USA; 4Dept of Surgery, VA Connecticut Healthcare Systems, USA; 5Dept of Vascular Surgery, Royal Free Hospital, UK; 6Division of Surgery & Interventional Science, UCL, UK; 7Dept of Mechanical Engineering, UCL, UK

ESB2023__Ninno_548.pdf


ID: 664

IMPACT OF RESISTANCE DISTRIBUTION AND PRESSURE MEASUREMENT IN THE COMPUTED FFR

S. I. Pinto1,2, A. Martins1, C. C. António1,2, L. C. Sousa1,2

1Engineering Faculty of University of Porto, Porto, Portugal; 2Institute of Science and Innovation in Mechanical and Industrial Engineering, Porto, Portugal

ESB2023__Pinto_664.pdf


ID: 735

LUMPED-PARAMETER MODEL TO ASSESS CORONARY BLOOD FLOW IN AAOCA: A FOCUS ON THE IMPACT OF BOUNDARY CONDITIONS

V. Ceserani1, M. Lo Rito2, G. M. Formato3, M. L. Agnifili4, A. Rosato3, A. F. Pascaner1, M. Conti1

1DICAr, University of Pavia, Italy; 2Department of Congenital Cardiac Surgery, IRCCS Policlinico San Donato, San Donato Milanese, Italy; 33D and Computer Simulation Laboratory, IRCCS Policlinico San Donato, San Donato Milanese, Italy; 4Department of Clinical and Interventional Cardiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy

ESB2023__Ceserani_735.pdf


ID: 192

EFFICIENT SENSITIVITY ANALYSIS FOR BIOMECHANICAL MODELS WITH CORRELATED INPUTS

P. L. J. Hilhorst1, S. Quicken1, F. N. van de Vosse1, W. Huberts1,2

1Eindhoven University of Technology, the Netherlands; 2CARIM School for Cardiovascular Diseases, Maastricht, the Netherlands

ESB2023__Hilhorst_192.pdf


ID: 782

MODELLING HEMODYNAMICS WITH REAL PHYSIOLOGICAL CONDITIONS OF PATIENT-SPECIFIC CORONARIES

M. C. Fernandes1,2, L. C. Sousa1,2, C. C. António1,2, S. I. Pinto1,2

1Engineering Faculty, University of Porto, Porto, Portugal; 2Institute of Science and Innovation in Mechanical and Industrial Engineering, Porto, Portugal

ESB2023__Fernandes_782.pdf


ID: 793

AORTIC HEMODYNAMICS EVALUATION BASED ON REDUCED ORDER MODELS: EFFECT OF INLET CONDITIONS

F. Galbiati1,2, C. Angeletti3, K. Capellini3, E. Vignali3, C. Morin2, S. Avril2, E. Costa1, S. Celi3

1RINA Consulting S.p.A., Italy; 2Mines Saint Etienne, INSERM, SAINBIOSE U1059, F-42023, Saint-Étienne, France; 3BioCardioLab, Fondazione Toscana Gabriele Monasterio, Massa, Italy

ESB2023__Galbiati_793.pdf


ID: 811

ON THE NEED OF A RELIABLE NUMERICAL MODEL TO SIMULATE THE LEFT ATRIAL APPENDAGE OCCLUSION: A FINITE ELEMENT STUDY

F. Danielli1, F. Berti1, B. M. Fanni2, E. Gasparotti2, S. Celi2, G. Pennati1, L. Petrini3

1Department of Chemistry, Materials and Chemical Engineering "Giulio Natta" (CMIC), Politecnico di Milano; 2BioCardioLab, Fondazione Toscana Gabriele Monasterio (FTGM), Italy; 3Department of Civil and Environmental Engineering (DICA), Politecnico di Milano

ESB2023__Danielli_811.pdf


ID: 855

PERSONALISED COMPUTATIONAL MODELS TO STUDY THE IMPACT OF COVID-19 LUNGS UNDER MECHANICAL VENTILATION

D. Kernot, J. Carson, R. van Loon, H. Arora

Department of Biomedical Engineering, Swansea University, United Kingdom

ESB2023__Kernot_855.pdf


 
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