Literature DB >> 1457978

The arterial pattern and fractal dimension of the dog kidney.

J Gil-García1, M Gimeno-Domínguez, N L Murillo-Ferroll.   

Abstract

A method has been developed by which it is possible to measure the fractal dimension of the arterial tree of the kidney. The objective of this work is to determine a method which permits us to discriminate between the architectures of specific organs by reference to a unique number, namely the fractal dimension of the arterial tree of that organ. This method opens the possibility of a new taxonomy for normal organs and for the pathological injiries related to the vascular morphology of those organs. The method that we have devised uses as its input the volume which is taken up by the arterial tree of the kidney. In order to calculate this volume we first obtained a plastic cast (the arteries were filled with Araldite CY233 plastic resin after which the organic tissues were corroded); thereafter we constructed a theoretical arterial tree having the same volume as the renal one. From this simplified tree, we were able to calculate its fractal dimension. The complete process of constructing the theoretical arterial tree and the subsequent calculation of its fractal dimension was carried out automatically by way of a computer programme to which we have given the name fractal program.

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Year:  1992        PMID: 1457978

Source DB:  PubMed          Journal:  Histol Histopathol        ISSN: 0213-3911            Impact factor:   2.303


  3 in total

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Authors:  Christina-Marina Breki; Antonia Dimitrakopoulou-Strauss; Jessica Hassel; Theoharis Theoharis; Christos Sachpekidis; Leyun Pan; Astero Provata
Journal:  EJNMMI Res       Date:  2016-07-29       Impact factor: 3.138

2.  Planar cell polarity genes frizzled4 and frizzled6 exert patterning influence on arterial vessel morphogenesis.

Authors:  Rene Markovič; Julien Peltan; Marko Gosak; Denis Horvat; Borut Žalik; Benjamin Seguy; Remi Chauvel; Gregoire Malandain; Thierry Couffinhal; Cécile Duplàa; Marko Marhl; Etienne Roux
Journal:  PLoS One       Date:  2017-03-02       Impact factor: 3.240

3.  A cross-sectional study on the relationship between hematological data and quantitative morphological indices from kidney biopsies in different glomerular diseases.

Authors:  Michelangelo Nigro; Davide Viggiano; Vincenzo Ragone; Tiziana Trabace; Annamaria di Palma; Michele Rossini; Giovambattista Capasso; Loreto Gesualdo; Giuseppe Gigliotti
Journal:  BMC Nephrol       Date:  2018-03-14       Impact factor: 2.388

  3 in total

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