Box-counting Method in Quantitative Analysis of Images of the Brain

Nebojsa Milosevic, Antionio Ieva, Herbert Jelinek, Nemanja Rajkovic

Research output: Book chapter/Published conference paperConference paper

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 boxcounting 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 publicationProceedings of the 2017 21st International Conference on Control Systems and Computer Science
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages343-349
Number of pages7
ISBN (Electronic)2379-0482
DOIs
Publication statusPublished - 2017
EventThe 21st International Conference on Control Systems and Computer Science: CSCS21 - University Politehnica of Bucharest, Bucharest, Romania
Duration: 29 May 201731 May 2017
http://cscs21.hpc.pub.ro/

Conference

ConferenceThe 21st International Conference on Control Systems and Computer Science
CountryRomania
CityBucharest
Period29/05/1731/05/17
Internet address

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  • Cite this

    Milosevic, N., Ieva, A., Jelinek, H., & Rajkovic, N. (2017). Box-counting Method in Quantitative Analysis of Images of the Brain. In Proceedings of the 2017 21st International Conference on Control Systems and Computer Science (pp. 343-349). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CSCS.2017.53