Artery Research

Volume 20, Issue C, December 2017, Pages 54 - 55

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

Authors
Jorge Mariscal Harana1, Arna van Engelen1, Torben Schneider2, Mateusz Florkow1, 2, Peter Charlton1, Bram Ruijsink1, Hubrecht De Bliek3, Israel Valverde1, Marietta Carakida1, Kuberan Pushparajah1, Spencer Sherwin4, Rene Botnar1, Jordi Alastruey1
1Division of Imaging Sciences and Biomedical Engineering, King’s College London, UK
2Philips Healthcare, Guildford, UK
3HSDP Clinical Platforms, Philips Healthcare, Best, The Netherlands
4Department of Aeronautics, Imperial College London, South Kensington Campus, UK
Available Online 6 December 2017.
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.

References

1.CM McEniery et al., Central blood pressure: current evidence and clinical importance, Eur Heart J, Vol. 35, No. 26, 2014, pp. 1719-25.
2.JP Mynard et al., One-dimensional haemodynamic modeling and wave dynamics in the entire adult circulation, Ann Biomed Eng, Vol. 43, No. 6, 2015, pp. 1443-60.
Journal
Artery Research
Volume-Issue
20 - C
Pages
54 - 55
Publication Date
2017/12/06
ISSN (Online)
1876-4401
ISSN (Print)
1872-9312
DOI
10.1016/j.artres.2017.10.036How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  -