liu.seSök publikationer i DiVA
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Assessment of Turbulent Flow Effects on the Vessel Wall Using Four-Dimensional Flow MRI
Linköpings universitet, Institutionen för medicin och hälsa, Avdelningen för kardiovaskulär medicin. Linköpings universitet, Medicinska fakulteten.ORCID-id: 0000-0001-9184-9234
Linköpings universitet, Institutionen för medicin och hälsa, Avdelningen för kardiovaskulär medicin. Linköpings universitet, Medicinska fakulteten.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.ORCID-id: 0000-0003-1395-8296
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.
2017 (Engelska)Ingår i: Magnetic Resonance in Medicine, ISSN 0740-3194, E-ISSN 1522-2594, Vol. 77, nr 6, s. 2310-2319Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Purpose: To explore the use of MR-estimated turbulence quantities for the assessment of turbulent flow effects on the vessel wall. Methods: Numerical velocity data for two patient-derived models was obtained using computational fluid dynamics (CFD) for two physiological flow rates. The four-dimensional (4D) Flow MRI measurements were simulated at three different spatial resolutions and used to investigate the estimation of turbulent wall shear stress (tWSS) using the intravoxel standard deviation (IVSD) of velocity and turbulent kinetic energy (TKE) estimated near the vessel wall. Results: Accurate estimation of tWSS using the IVSD is limited by the spatial resolution achievable with 4D Flow MRI. TKE, estimated near the wall, has a strong linear relationship to the tWSS (mean R(2=)0.84). Near-wall TKE estimates from MR simulations have good agreement to CFD-derived ground truth (mean R-2=0.90). Maps of near-wall TKE have strong visual correspondence to tWSS. Conclusion: Near-wall estimation of TKE permits assessment of relative maps of tWSS, but direct estimation of tWSS is challenging due to limitations in spatial resolution. Assessment of tWSS and near-wall TKE may open new avenues for analysis of different pathologies. (C) 2016 International Society for Magnetic Resonance in Medicine

Ort, förlag, år, upplaga, sidor
WILEY , 2017. Vol. 77, nr 6, s. 2310-2319
Nyckelord [en]
phase contrast magnetic resonance imaging; wall shear stress; turbulence; turbulent kinetic energy; aorta
Nationell ämneskategori
Medicinsk bildbehandling
Identifikatorer
URN: urn:nbn:se:liu:diva-138232DOI: 10.1002/mrm.26308ISI: 000401270900022PubMedID: 27350049OAI: oai:DiVA.org:liu-138232DiVA, id: diva2:1109393
Anmärkning

Funding Agencies|Swedish Research Council; National Supercomputer Centre [SNIC2014-11-22]

Tillgänglig från: 2017-06-14 Skapad: 2017-06-14 Senast uppdaterad: 2019-04-17
Ingår i avhandling
1. Improving Assessments of Hemodynamics and Vascular Disease
Öppna denna publikation i ny flik eller fönster >>Improving Assessments of Hemodynamics and Vascular Disease
2019 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

Blood vessels are more than simple pipes, passively enabling blood to pass through them. Their form and function are dynamic, changing with both aging and disease. This process involves a feedback loop wherein changes to the shape of a blood vessel affect the hemodynamics, causing yet more structural adaptation. This feedback loop is driven in part by the hemodynamic forces generated by the blood flow, and the distribution and strength of these forces appear to play a role in the initiation, progression, severity, and the outcome of vascular diseases.

Magnetic Resonance Imaging (MRI) offers a unique platform for investigating both the form and function of the vascular system. The form of the vascular system can be examined using MR-based angiography, to generate detailed geometric analyses, or through quantitative techniques for measuring the composition of the vessel wall and atherosclerotic plaques. To complement these analyses, 4D Flow MRI can be used to quantify the functional aspect of the vascular system, by generating a full time-resolved three-dimensional velocity field that represents the blood flow.

This thesis aims to develop and evaluate new methods for assessing vascular disease using novel hemodynamic markers generated from 4D Flow MRI and quantitative MRI data towards the larger goal of a more comprehensive non-invasive examination oriented towards vascular disease. In Paper I, we developed and evaluated techniques to quantify flow stasis in abdominal aortic aneurysms to measure this under-explored aspect of aneurysmal hemodynamics. In Paper II, the distribution and intensity of turbulence in the aorta was quantified in both younger and older men to understand how aging changes this aspect of hemodynamics. A method to quantify the stresses generated by turbulence that act on the vessel wall was developed and evaluated using simulated flow data in Paper III, and in Paper V this method was utilized to examine the wall stresses of the carotid artery. The hemodynamics of vascular disease cannot be uncoupled from the anatomical changes the vessel wall undergoes, and therefore Paper IV developed and evaluated a semi-automatic method for quantifying several aspects of vessel wall composition. These developments, taken together, help generate more valuable information from imaging data, and can be pooled together with other methods to form a more comprehensive non-invasive examination for vascular disease.

Ort, förlag, år, upplaga, sidor
Linköping: Linköping University Electronic Press, 2019. s. 64
Serie
Linköping University Medical Dissertations, ISSN 0345-0082 ; 1675
Nationell ämneskategori
Medicinsk bildbehandling Biomedicinsk laboratorievetenskap/teknologi
Identifikatorer
urn:nbn:se:liu:diva-156311 (URN)10.3384/diss.diva-156311 (DOI)9789176850985 (ISBN)
Disputation
2019-05-31, Hugo Theorell, Norra Entrén, Campus US, Linköping, 13:00 (Engelska)
Opponent
Handledare
Forskningsfinansiär
Vetenskapsrådet, 2013-06077Vetenskapsrådet, 2017-03857Region Östergötland, LIO-752951
Tillgänglig från: 2019-04-17 Skapad: 2019-04-12 Senast uppdaterad: 2019-04-24Bibliografiskt granskad

Open Access i DiVA

fulltext(6752 kB)282 nedladdningar
Filinformation
Filnamn FULLTEXT01.pdfFilstorlek 6752 kBChecksumma SHA-512
c14c5cb4398264649bab849dae148d8acaa66fa2253aba915e43b6d0eaf7d226b7caabbb8eb5203ce8fd1c2893827d38487798ba74830e36e0c801d9542d1cdf
Typ fulltextMimetyp application/pdf

Övriga länkar

Förlagets fulltextPubMed

Sök vidare i DiVA

Av författaren/redaktören
Ziegler, MagnusLantz, JonasEbbers, TinoDyverfeldt, Petter
Av organisationen
Avdelningen för kardiovaskulär medicinMedicinska fakultetenFysiologiska kliniken USCentrum för medicinsk bildvetenskap och visualisering, CMIV
I samma tidskrift
Magnetic Resonance in Medicine
Medicinsk bildbehandling

Sök vidare utanför DiVA

GoogleGoogle Scholar
Totalt: 282 nedladdningar
Antalet nedladdningar är summan av nedladdningar för alla fulltexter. Det kan inkludera t.ex tidigare versioner som nu inte längre är tillgängliga.

doi
pubmed
urn-nbn

Altmetricpoäng

doi
pubmed
urn-nbn
Totalt: 1019 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf