Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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
Combined Visualization of Intracardiac Blood Flow and Wall Motion Assessed by MRI
Linköping University, Center for Medical Image Science and Visualization, CMIV. Linköping University, Department of Biomedical Engineering. Linköping University, The Institute of Technology.
2011 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

MRI is a well known and widely spread technique to characterize cardiac pathologies due to its high spatial resolution, its accessibility and its adjustable contrast among soft tissues.

In attempt to close the gap between blood flow, myocardial movement and the cardiac fucntion, researching in the MRI field addresses the quantification of some of the most relevant blood and myocardial parameters.

During this proyect a new tool that allows reading, postprocessing, quantifying and visualizing 2D motion sense MR data has been developed. In order to analyze intracardiac blood flow and wall motion, the new tool quantifies velocity, turbulent kinetic energy, pressure and strain.

In the results section the final tool is presented, describing the visualization modes, which represent the quantified parameters both individually and combined; and detailing auxiliary tool features as masking, thresholding, zooming, and cursors.

Finally, thecnical aspects as the convenience of two dimensional examinations to create compact tools, and the challenges of masking as part of the relative pressure calculation, among others, are discussed; ending up with the proposal of some future developments.

Place, publisher, year, edition, pages
2011. , 63 p.
Keyword [en]
Combined visualization, medical imaging, MRI, blood flow, wall motion, Image processing
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:liu:diva-75881ISRN: LiTH-IMT/MASTER-EX--11/008--SEOAI: oai:DiVA.org:liu-75881DiVA: diva2:509929
Subject / course
Masterprogram Biomedical Engineering (BME)
Uppsok
Technology
Supervisors
Examiners
Available from: 2012-03-27 Created: 2012-03-14 Last updated: 2012-06-12Bibliographically approved

Open Access in DiVA

fulltext(9288 kB)430 downloads
File information
File name FULLTEXT01.pdfFile size 9288 kBChecksum SHA-512
d6448a9029b4d551a1119cdca7449021279f7b2b0b503b22c928f56eb4106867573bb0f8f297ecc017ed1664b327ff05a97d2c06e485ffbf93e12b4941bb3d53
Type fulltextMimetype application/pdf

By organisation
Center for Medical Image Science and Visualization, CMIVDepartment of Biomedical EngineeringThe Institute of Technology
Medical Image Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 430 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 364 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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