Samenvatting
Patientspecific onedimensional (1D) haemodynamic models can support personalized clinical decisions through an improved interpretation of carotid ultrasound (cUS) velocity and diameter waveforms. However, personalized 1D models of the arterial vasculature require the estimation of a large number of parameters from invivo measurements, some often not readily available in most clinical settings. In such cases, we are confronted with a problem of complexity optimization: what is the minimum required 1D topology (i.e., the number of 1D arterial branches included in the model network) such that the least possible number of parameters are to be assumed, while still being able to accurately capture characteristic cUS waveform features? In this work, using a systematic method for 1D model reduction, we have shown that the minimum topology required to accurately simulate cUS waveforms varies in virtual subjects of different ages. Using this approach, we have selected agespecific reduced models that retain carotid waveform features with NRMSE <4% for velocity and <0.15% for diameter. Finally, we have used wave power analysis (WPA) to elucidate the location of origin of reflected waves responsible for cUS waveform features, and investigated the effect of model reduction on these.
Originele taal2  Engels 

Titel  Computing in Cardiology  IEEE Engineering in Medicine and Biology 
Uitgeverij  Institute of Electrical and Electronics Engineers 
Aantal pagina's  4 
ISBN van elektronische versie  9798350300970 
DOI's  
Status  Gepubliceerd  3 apr. 2023 
Evenement  49th Computing in Cardiology, CinC 2022  Tampere Hall, Tampere, Finland Duur: 4 sep. 2022 → 7 sep. 2022 Congresnummer: 49 
Congres
Congres  49th Computing in Cardiology, CinC 2022 

Verkorte titel  CinC 
Land/Regio  Finland 
Stad  Tampere 
Periode  4/09/22 → 7/09/22 
Vingerafdruk
Duik in de onderzoeksthema's van 'Agespecific Topology Minimization in a Onedimensional Model Describing Carotid Haemodynamics'. Samen vormen ze een unieke vingerafdruk.Impact

Cardiovascular Medicine
van de Laar, L. (Content manager) & Jansen, J. (Content manager)
Impact: Research Topic/Theme (at group level)