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A Novel MRI Framework for the Quantification of Any Moment of Arbitrary Velocity Distributions.
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart and Medicine Center, Department of Clinical Physiology in Linköping.
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart and Medicine Center, Department of Clinical Physiology in Linköping.
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-9091-4724
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, The Institute of Technology. Östergötlands Läns Landsting, Heart and Medicine Center, Department of Clinical Physiology in Linköping.ORCID iD: 0000-0003-1395-8296
2010 (English)In: Proc. Intl. Soc. Mag. Reson. Med. 18 (2010), ISMRM , 2010, 1359-1359 p.Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

Under the assumption that the intravoxel velocity distribution is symmetric about its mean, the well-known MRI phase-difference method permits an estimation of the mean velocity of a voxel. The mean velocity corresponds to the first moment of the velocity distribution. Here, a novel framework for the quantification of any moment of arbitrary spin velocity distributions is presented. Simulations on realistic velocity distributions demonstrate its application. The presented moment framework may assist in improving the understanding of existing MRI methods for the quantification of flow and motion and serve as a basis for the development of new methods.

Place, publisher, year, edition, pages
ISMRM , 2010. 1359-1359 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-54939OAI: oai:DiVA.org:liu-54939DiVA: diva2:311710
Conference
ISMRM Joint Annual Meeting (2010), Stockholm, Sweden,1-7 May 2010
Projects
CMIV
Available from: 2010-04-22 Created: 2010-04-22 Last updated: 2013-09-03

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Dyverfeldt, PetterSigfridsson, AndreasKnutsson, HansEbbers, Tino

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Dyverfeldt, PetterSigfridsson, AndreasKnutsson, HansEbbers, Tino
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Division of Cardiovascular MedicineCenter for Medical Image Science and Visualization (CMIV)Faculty of Health SciencesDepartment of Clinical Physiology in LinköpingMedical InformaticsThe Institute of Technology
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