3.6 NON-INVASIVE, MRI-BASED ESTIMATION OF PATIENT-SPECIFIC AORTIC BLOOD PRESSURE USING ONE-DIMENSIONAL BLOOD FLOW MODELLING

DOI

10.1016/j.artres.2017.10.036How to use a DOI?

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%.

Figure 1

CBP estimation using the aortic 1-D model for a given virtual patient.

Figure 2

Systolic CBP estimated using the aortic 1-D model against reference systolic CBP values from in silico and in vivo data.

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.

Open Access

This is an open access article distributed under the CC BY-NC license.

TY  - JOUR
AU  - Jorge Mariscal Harana
AU  - Arna van Engelen
AU  - Torben Schneider
AU  - Mateusz Florkow
AU  - Peter Charlton
AU  - Bram Ruijsink
AU  - Hubrecht De Bliek
AU  - Israel Valverde
AU  - Marietta Carakida
AU  - Kuberan Pushparajah
AU  - Spencer Sherwin
AU  - Rene Botnar
AU  - Jordi Alastruey
PY  - 2017
DA  - 2017/12/06
TI  - 3.6 NON-INVASIVE, MRI-BASED ESTIMATION OF PATIENT-SPECIFIC AORTIC BLOOD PRESSURE USING ONE-DIMENSIONAL BLOOD FLOW MODELLING
JO  - Artery Research
SP  - 54
EP  - 55
VL  - 20
IS  - C
SN  - 1876-4401
UR  - https://doi.org/10.1016/j.artres.2017.10.036
DO  - 10.1016/j.artres.2017.10.036
ID  - MariscalHarana2017
ER  -