P52 ESTIMATING CENTRAL BLOOD PRESSURE FROM MRI DATA USING REDUCED-ORDER COMPUTATIONAL MODELS

Autor: Jorge Mariscal Harana, Peter H. Charlton, Samuel Vennin, Arna van Engelen, Torben Schneider, Mateusz Florkow, Hubrecht de Bliek, Bram Ruijsink, Israel Valverde, Marietta Charakida, Kuberan Pushparajah, Spencer Sherwin, Rene Botnar, Jordi Alastruey
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Artery Research, Vol 24 (2018)
Druh dokumentu: article
ISSN: 1876-4401
DOI: 10.1016/j.artres.2018.10.105
Popis: Purpose: Central Blood Pressure (CBP) is a better cardiovascular risk indicator than brachial pressure [1]. However, gold standard CBP measurements require an invasive catheter. We propose an approach to estimate CBP non-invasively from Magnetic Resonance Imaging (MRI) data coupled with a non-invasive brachial pressure measurement, using reduced-order (0-D/1-D) computational models. Our objectives were: identifying optimum model parameter estimation methods and comparing the performance of 0-D/1-D models for estimating CBP. Methods: Populations of virtual (simulated) healthy subjects were generated based on [2]. Pressure and flow waveforms from these populations were used to develop and test Methods: for estimating model parameters. Two common clinical scenarios were considered: when a brachial pressure waveform is available; and when only systolic and diastolic blood pressures are available. Optimal parameter estimation Methods: were identified for each scenario and used with two 0-D Windkessel models and a 1-D aortic model. Results were compared with invasive CBP in a post-coarctation repair population (n = 10). Results: Model parameters were best estimated by: fitting an exponential to the pressure waveform to estimate compliance and outflow pressure; using the least-squares method to estimate pulse wave velocity from flow data; assuming characteristic impedance was 5% of arterial resistance; and estimating end-systolic time from the second derivative of the pressure waveform. Average pulse and systolic CBP errors were
Databáze: Directory of Open Access Journals