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Characterization of human head vasculature by percolation parameters

Weis, Jan (author)
Uppsala universitet,Institutionen för onkologi, radiologi och klinisk immunologi
Smedby, Örjan (author)
Uppsala universitet,Institutionen för onkologi, radiologi och klinisk immunologi
Hemmingsson, Anders (author)
Uppsala universitet,Institutionen för onkologi, radiologi och klinisk immunologi
 (creator_code:org_t)
1999
1999
English.
In: Magnetic Resonance Imaging. - 0730-725X .- 1873-5894. ; 17:3, s. 411-415
  • Journal article (peer-reviewed)
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  • 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.

Keyword

magnetic resonance imaging
angiography
MEDICINE
MEDICIN
Radiologi
Radiology

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