Change search
ReferencesLink to record
Permanent link

Direct link
A novel MRI framework for the quantification of any moment of arbitrary velocity distributions
Linköping University, Department of Medical and Health Sciences, Clinical Physiology. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart Centre, Department of Clinical Physiology.
Linköping University, Department of Medical and Health Sciences, Clinical Physiology. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart Centre, Department of Clinical Physiology.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart Centre, Department of Clinical Physiology. Linköping University, Department of Medical and Health Sciences, Physiology. Linköping University, Center for Medical Image Science and Visualization, CMIV. Linköping University, Department of Management and Engineering, Applied Thermodynamics and Fluid Mechanics.ORCID iD: 0000-0003-1395-8296
2011 (English)In: Magnetic Resonance in Medicine, ISSN 0740-3194, E-ISSN 1522-2594, Vol. 65, no 3, 725-731 p.Article in journal (Refereed) Published
Abstract [en]

MRI can measure several important hemodynamic parameters but might not yet have reached its full potential. The most common MRI method for the assessment of flow is phase-contrast MRI velocity mapping that estimates the mean velocity of a voxel. This estimation is precise only when the intravoxel velocity distribution is symmetric. The mean velocity corresponds to the first raw moment of the intravoxel velocity distribution. Here, a generalized MRI framework for the quantification of any moment of arbitrary velocity distributions is described. This framework is based on the fact that moments in the function domain (velocity space) correspond to differentials in the Fourier transform domain (kv-space). For proof-of-concept, moments of realistic velocity distributions were estimated using finite difference approximations of the derivatives of the MRI signal. In addition, the framework was applied to investigate the symmetry assumption underlying phase-contrast MRI velocity mapping; we found that this assumption can substantially affect phase-contrast MRI velocity estimates and that its significance can be reduced by increasing the velocity encoding range.

Place, publisher, year, edition, pages
John Wiley and Sons, Ltd , 2011. Vol. 65, no 3, 725-731 p.
Keyword [en]
phase-contrast magnetic resonance imaging, blood flow velocity, turbulent flow, cardiovascular physiology, Fourier transform, moments
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-66863DOI: 10.1002/mrm.22649ISI: 000287929800014OAI: oai:DiVA.org:liu-66863DiVA: diva2:405319
Available from: 2011-03-22 Created: 2011-03-21 Last updated: 2013-09-03

Open Access in DiVA

fulltext(702 kB)216 downloads
File information
File name FULLTEXT01.pdfFile size 702 kBChecksum SHA-512
5f61edb86ba0b5c4258be24142b77c57bdd79e79bc3824f54d34c26360ba51ba550a86ed238cb7e0cd11a812db8faa228b3154ed3b73cae17edc9ec4fc98d4e6
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Dyverfeldt, PetterSigfridsson, AndreasKnutsson, HansEbbers, Tino
By organisation
Clinical PhysiologyFaculty of Health SciencesDepartment of Clinical PhysiologyMedical InformaticsThe Institute of TechnologyPhysiologyCenter for Medical Image Science and Visualization, CMIVApplied Thermodynamics and Fluid Mechanics
In the same journal
Magnetic Resonance in Medicine
Medical and Health Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 216 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

Altmetric score

Total: 468 hits
ReferencesLink to record
Permanent link

Direct link