Literature DB >> 10939288

A method to determine the fractal dimension of the cross-sectional jaggedness of the infarct scar edge.

C S McLachlan1, H F Jelinek, S K Kummerfeld, N Rummery, P D McLachlan, P Jusuf, C Driussi, J Yin.   

Abstract

This study describes the use of a shareware software package available from the National Institutes of Health for computing the fractal dimension. Specifically, when fractal analysis is used in its correct context it provides for a quantitative description of the space filling properties of two-dimensional objects. A rabbit model of post myocardial infarction is described where the cross-sectional infarct edge is reconstructed and its jaggedness determined by calculating its fractal dimension via the pixel dilation method. The fractal dimensions of the anterior and posterior lateral infarct edges were calculated to have a mean of 1.16 and 1.29, respectively. In conclusion, the fractal technique can be used to describe the complex jaggedness of the infarct edge. This case study also illustrates the fact that the complexity of an infarcted area is not uniform across the scar. For example, we found that the space filling properties of the anterior and posterior borders of a myocardial infarct can differ by more than 2-fold.

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Year:  2000        PMID: 10939288     DOI: 10.1179/135100000101535401

Source DB:  PubMed          Journal:  Redox Rep        ISSN: 1351-0002            Impact factor:   4.412


  2 in total

1.  CMEIAS JFrad: a digital computing tool to discriminate the fractal geometry of landscape architectures and spatial patterns of individual cells in microbial biofilms.

Authors:  Zhou Ji; Kyle J Card; Frank B Dazzo
Journal:  Microb Ecol       Date:  2014-09-26       Impact factor: 4.552

2.  Predicting risk of sudden cardiac death in patients with cardiac sarcoidosis using multimodality imaging and personalized heart modeling in a multivariable classifier.

Authors:  Julie K Shade; Adityo Prakosa; Dan M Popescu; Rebecca Yu; David R Okada; Jonathan Chrispin; Natalia A Trayanova
Journal:  Sci Adv       Date:  2021-07-28       Impact factor: 14.136

  2 in total

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