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Characterization of human head vasculature byprelocation parameters
Department of Diagnostic Radiology, University Hospital, Uppsala, Sweden.ORCID iD: 0000-0002-7750-1917
1999 (English)In: Magnetic Resonance Imaging, ISSN 0730-725X, E-ISSN 1873-5894, Vol. 17, no 3, 411-415 p.Article in journal (Refereed) Published
Abstract [en]

A data reduction procedure, originally proposed for characterization of fractals and random percolation clusters, has been used to evaluate the vascular system of the human head. The motivation behind this study arose from the wish to study empirically transport properties of vascular systems and to find a suitable formalism for their description. MR angiographic data acquired by a standard 3D inflow method were used. The evaluated parameters refer to the backbone fractal dimensionality and the correlation length. The fractal dimensionality of the backbone was found to be 1.71 for the human head vasculature. This value fits the theoretical range of random percolation networks. It is concluded that concepts of percolation theory might have some value for characterizing the structure and transport properties of the vascular system.

Place, publisher, year, edition, pages
1999. Vol. 17, no 3, 411-415 p.
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Medical and Health Sciences
Identifiers
URN: urn:nbn:se:liu:diva-27147Local ID: 11795OAI: oai:DiVA.org:liu-27147DiVA: diva2:247698
Available from: 2009-10-08 Created: 2009-10-08 Last updated: 2017-12-13

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Smedby, Örjan

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