Box-counting method in quantitative analysis of images of the brain

Nebojsa T. Milosevic, Antionio Di Ieva, Herbert Jelinek, Nemanja Rajkovic

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

The introduction of fractal geometry in the neurosciences has been a major paradigm shift over the last decades as it has helped overcome approximations and limitations that occur when reductionist approaches are used to analyze neurons or the entire brain. Fractal geometry allows for quantitative analysis and description of the geometric complexity of the brain, particularly fractal analysis provides a quantitative tool for the study of morphology of brain cells and the brain structure itself. The box-counting method of fractal analysis, its modification are presented on 2D image of neurons from the monkey brain. The use of MATLAB software, particularly when the 2D or 3D image of the brain have to be quantified with box-counting procedure is also presented. This paper offers a link between the applications of fractal analysis to the neuroanatomy and basic neurosciences with the clinical applications.

Original languageEnglish
Title of host publication2017 21st International Conference on Control Systems and Computer Science (CSCS) : proceedings
Editors Dumitrache, AM Florea, F Pop, A Dumitrascu
Place of PublicationPiscataway, NJ, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages343-349
Number of pages7
ISBN (Electronic)9781538618394
ISBN (Print)9781538618400
DOIs
Publication statusPublished - 5 Jul 2017
Event21st International Conference on Control Systems and Computer Science, CSCS 2017 - Bucharest
Duration: 29 May 201731 May 2017

Conference

Conference21st International Conference on Control Systems and Computer Science, CSCS 2017
CityBucharest
Period29/05/1731/05/17

Keywords

  • Box-counting
  • Brain
  • Computation
  • Fractal
  • MATLAB
  • Modelling
  • Neuroanatomy

Fingerprint Dive into the research topics of 'Box-counting method in quantitative analysis of images of the brain'. Together they form a unique fingerprint.

  • Cite this

    Milosevic, N. T., Di Ieva, A., Jelinek, H., & Rajkovic, N. (2017). Box-counting method in quantitative analysis of images of the brain. In Dumitrache, AM. Florea, F. Pop, & A. Dumitrascu (Eds.), 2017 21st International Conference on Control Systems and Computer Science (CSCS) : proceedings (pp. 343-349). [7968581] Piscataway, NJ, USA: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CSCS.2017.53