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Estimation of Turbulence using Magnetic Resonance Imaging
Linköping University, Department of Biomedical Engineering.
2005 (English)Independent thesis Basic level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In the human body, turbulent flow is associated with many complications. Turbulence typically occurs downstream from stenoses and heart valve prostheses and at branch points of arteries. A proper way to study turbulence may enhance the understanding of the effects of stenoses and improve the functional assessment of damaged heart valves and heart valve prostheses.

The methods of today for studying turbulence in the human body lack in either precision or speed. This thesis exploits a magnetic resonance imaging (MRI) phenomenon referred to as signal loss in order to develop a method for estimating turbulence intensity in blood flow.

MRI measurements were carried out on an appropriate flow phantom. The turbulence intensity results obtained by means of the proposed method were compared with previously known turbulence intensity results. The comparison indicates that the proposed method has great potential for estimation of turbulence intensity.

Place, publisher, year, edition, pages
Institutionen för medicinsk teknik , 2005. , 39 p.
Keyword [en]
Magnetic resonance imaging, phase contrast, blood flow, heart valve protheses, signal loss, standard deviation, turbulence intensity
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-7448ISRN: LiTH-IMT/BMS20-EX--04/378--SEOAI: oai:DiVA.org:liu-7448DiVA: diva2:22445
Subject / course
Biomedical Instrumentation
Uppsok
Technology
Available from: 2006-09-27 Created: 2006-09-27 Last updated: 2012-09-18

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf