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3.6: Non-Invasive, Mri-Based Estimation of Patient-Specific Aortic Blood Pressure Using One-Dimensional Blood Flow Modelling
Artery Research volume 20, pages 54–55 (2017)
Abstract
Background and objectives
Clinical evidence shows that central (aortic) blood pressure (CBP) is a better marker of cardiovascular risk than brachial pressure [1]. However, CBP can only be accurately measured invasively, through catheterisation. We propose a novel approach to estimate CBP non-invasively from aortic MRI data and a non-invasive peripheral (brachial) pressure measurement, using a one-dimensional (1-D) model of aortic blood flow.
Methods
We created a population of virtual (computed) subjects, each with distinctive arterial pulse waveforms available at multiple arterial locations, to assess our approach. This was achieved by varying cardiac (stroke volume, cardiac period, time of systole) and arterial (pulse wave velocity, peripheral vascular resistance) parameters of a distributed 1-D model of the larger systemic arteries [2] within a wide range of physiologically plausible values. After optimising our algorithm for the aortic 1-D model in silico, we tested its accuracy in a clinical population of 8 post-coarctation repair patients.
Results
Results from our in silico study, after varying cardiac and arterial parameters by ± 30%, showed maximum relative errors for systolic, mean and diastolic CBP of 4.5%, 3.6% and 4.2%, respectively. Average relative errors for systolic, mean and diastolic CBP were 2.7%, 0.9% and 1.2%, respectively. Corresponding average relative errors from our clinical study were 5.4%, 1.5% and 8.0%.
Conclusions
We have provided a proof of concept for the non-invasive estimation of patient-specific central blood pressure using computational aortic blood flow modelling in combination with MRI data and a non-invasive peripheral pressure measurement.
References
McEniery CM et al. Central blood pressure: current evidence and clinical importance. Eur Heart J 2014;35(26):1719–25
Mynard JP et al. One-dimensional haemodynamic modeling and wave dynamics in the entire adult circulation. Ann Biomed Eng 2015;43(6):1443–60.
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This is an open access article distributed under the CC BY-NC license https://doi.org/creativecommons.org/licenses/by/4.0/.
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Harana, J.M., van Engelen, A., Schneider, T. et al. 3.6: Non-Invasive, Mri-Based Estimation of Patient-Specific Aortic Blood Pressure Using One-Dimensional Blood Flow Modelling. Artery Res 20, 54–55 (2017). https://doi.org/10.1016/j.artres.2017.10.036
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DOI: https://doi.org/10.1016/j.artres.2017.10.036