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Correction: Quantitative Assessment of Turbulence and Flow Eccentricity in an Aortic Coarctation: Impact of Virtual Interventions (vol 6, pg 281, 2015)
Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, Mekanisk värmeteori och strömningslära. Linköpings universitet, Tekniska fakulteten. Swedish E Science Research Centre SeRC, Sweden.ORCID-id: 0000-0003-4656-7662
Linköpings universitet, Institutionen för medicin och hälsa, Avdelningen för kardiovaskulär medicin. Linköpings universitet, Medicinska fakulteten. Swedish E Science Research Centre SeRC, Sweden.ORCID-id: 0000-0003-1942-7699
Linköpings universitet, Institutionen för medicin och hälsa, Avdelningen för kardiovaskulär medicin. Linköpings universitet, Medicinska fakulteten. Region Östergötland, Hjärt- och Medicincentrum, Fysiologiska kliniken US. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV. Swedish E Science Research Centre SeRC, Sweden.ORCID-id: 0000-0003-1395-8296
Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, Mekanisk värmeteori och strömningslära. Linköpings universitet, Tekniska fakulteten. Linköpings universitet, Centrum för medicinsk bildvetenskap och visualisering, CMIV. Swedish E Science Research Centre SeRC, Sweden.ORCID-id: 0000-0001-5526-2399
2015 (engelsk)Inngår i: Cardiovascular Engineering and Technology, ISSN 1869-408X, E-ISSN 1869-4098, Vol. 6, nr 4, s. 577-589Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Turbulence and flow eccentricity can be measured by magnetic resonance imaging (MRI) and may play an important role in the pathogenesis of numerous cardiovascular diseases. In the present study, we propose quantitative techniques to assess turbulent kinetic energy (TKE) and flow eccentricity that could assist in the evaluation and treatment of stenotic severities. These hemodynamic parameters were studied in a pre-treated aortic coarctation (CoA) and after several virtual interventions using computational fluid dynamics (CFD), to demonstrate the effect of different dilatation options on the flow field. Patient-specific geometry and flow conditions were derived from MRI data. The unsteady pulsatile flow was resolved by large eddy simulation (LES) including non-Newtonian blood rheology. Results showed an inverse asymptotic relationship between the total amount of TKE and degree of dilatation of the stenosis, where the pre-stenotic hypoplastic segment may limit the possible improvement by treating the CoA alone. Spatiotem-poral maps of TKE and flow eccentricity could be linked to the characteristics of the post-stenotic jet, showing a versatile response between the CoA dilatations. By including these flow markers into a combined MRI-CFD intervention framework, CoA therapy has not only the possibility to produce predictions via simulation, but can also be validated pre-and immediate post treatment, as well as during follow-up studies.

sted, utgiver, år, opplag, sider
SPRINGER , 2015. Vol. 6, nr 4, s. 577-589
Emneord [en]
Computational fluid dynamics; Large eddy simulation; Turbulent kinetic energy; Flow displacement; Non-Newtonian; Carreau; Virtual treatment; Magnetic resonance imaging
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-131209DOI: 10.1007/s13239-015-0243-9ISI: 000380357700013PubMedID: 26577487OAI: oai:DiVA.org:liu-131209DiVA, id: diva2:971854
Tilgjengelig fra: 2016-09-19 Laget: 2016-09-12 Sist oppdatert: 2017-11-21

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