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Estimating the irreversible pressure drop across a stenosis by quantifying turbulence production using 4D Flow MRI
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences.
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences.ORCID iD: 0000-0003-1942-7699
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences.
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences.
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2017 (English)In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 7, article id 46618Article in journal (Refereed) Published
Abstract [en]

The pressure drop across a stenotic vessel is an important parameter in medicine, providing a commonly used and intuitive metric for evaluating the severity of the stenosis. However, non-invasive estimation of the pressure drop under pathological conditions has remained difficult. This study demonstrates a novel method to quantify the irreversible pressure drop across a stenosis using 4D Flow MRI by calculating the total turbulence production of the flow. Simulation MRI acquisitions showed that the energy lost to turbulence production can be accurately quantified with 4D Flow MRI within a range of practical spatial resolutions (1-3 mm; regression slope = 0.91, R-2 = 0.96). The quantification of the turbulence production was not substantially influenced by the signal-to-noise ratio (SNR), resulting in less than 2% mean bias at SNR amp;gt; 10. Pressure drop estimation based on turbulence production robustly predicted the irreversible pressure drop, regardless of the stenosis severity and post-stenosis dilatation (regression slope = 0.956, R-2 = 0.96). In vitro validation of the technique in a 75% stenosis channel confirmed that pressure drop prediction based on the turbulence production agreed with the measured pressure drop (regression slope = 1.15, R-2 = 0.999, Bland-Altman agreement = 0.75 +/- 3.93 mmHg).

Place, publisher, year, edition, pages
NATURE PUBLISHING GROUP , 2017. Vol. 7, article id 46618
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Fluid Mechanics and Acoustics
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URN: urn:nbn:se:liu:diva-137608DOI: 10.1038/srep46618ISI: 000399747000001PubMedID: 28425452OAI: oai:DiVA.org:liu-137608DiVA, id: diva2:1097363
Note

Funding Agencies|European Research Council [310612]; Swedish Research Council [2013-6077, 2014-6191]; Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education [2016R1A6A3A03006337]

Available from: 2017-05-22 Created: 2017-05-22 Last updated: 2017-06-14

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Ha, HojinLantz, JonasZiegler, MagnusCasas Garcia, BelénKarlsson, MattsDyverfeldt, PetterEbbers, Tino
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Division of Cardiovascular MedicineFaculty of Medicine and Health SciencesApplied Thermodynamics and Fluid MechanicsFaculty of Science & EngineeringCenter for Medical Image Science and Visualization (CMIV)Department of Clinical Physiology in Linköping
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