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

Nebojsa Milosevic; Antonio Di Ieva; Herbert Jelinek; Nemanja Rajkovic

doi:10.1109/CSCS.2017.53

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

Nebojsa Milosevic, Antonio Di Ieva, Herbert Jelinek, Nemanja Rajkovic

Research output: Book chapter/Published conference paper › Conference paper › peer-review

3 Citations (Scopus)

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 language	English
Title of host publication	Proceedings of the 2017 21st International conference on control systems and computer science (CSCS)
Editors	Ioan Dumitrache, Adina Magda Florea, Florin Pop, Alexandru Dumitraşcu
Place of Publication	USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	343-349
Number of pages	7
ISBN (Electronic)	9781538618394
ISBN (Print)	9781538618400 (print on demand)
DOIs	https://doi.org/10.1109/CSCS.2017.53
Publication status	Published - 2017
Event	2017 21st International Conference on Control Systems and Computer Science (CSCS) - University Politehnica of Bucharest, Bucharest, Romania Duration: 29 May 2017 → 31 May 2017 http://cscs21.hpc.pub.ro/

Conference

Conference	2017 21st International Conference on Control Systems and Computer Science (CSCS)
Country/Territory	Romania
City	Bucharest
Period	29/05/17 → 31/05/17
Internet address	http://cscs21.hpc.pub.ro/

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10.1109/CSCS.2017.53

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Milosevic, N., Ieva, A. D., Jelinek, H., & Rajkovic, N. (2017). Box-counting method in quantitative analysis of images of the brain. In I. Dumitrache, A. M. Florea, F. Pop, & A. Dumitraşcu (Eds.), Proceedings of the 2017 21st International conference on control systems and computer science (CSCS) (pp. 343-349). Article 7968581 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CSCS.2017.53

Milosevic, Nebojsa ; Ieva, Antonio Di ; Jelinek, Herbert et al. / Box-counting method in quantitative analysis of images of the brain. Proceedings of the 2017 21st International conference on control systems and computer science (CSCS). editor / Ioan Dumitrache ; Adina Magda Florea ; Florin Pop ; Alexandru Dumitraşcu. USA : IEEE, Institute of Electrical and Electronics Engineers, 2017. pp. 343-349

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title = "Box-counting method in quantitative analysis of images of the brain",

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. ",

keywords = "Box-counting, Brain, Computation, MATLAB, Modelling, Neuroanatomy, Fractal",

author = "Nebojsa Milosevic and Ieva, {Antonio Di} and Herbert Jelinek and Nemanja Rajkovic",

note = "Includes bibliographical references.; 2017 21st International Conference on Control Systems and Computer Science (CSCS) ; Conference date: 29-05-2017 Through 31-05-2017",

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doi = "10.1109/CSCS.2017.53",

language = "English",

isbn = "9781538618400 (print on demand)",

pages = "343--349",

editor = "Ioan Dumitrache and Florea, {Adina Magda} and Florin Pop and Alexandru Dumitra{\c s}cu",

booktitle = "Proceedings of the 2017 21st International conference on control systems and computer science (CSCS)",

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Milosevic, N, Ieva, AD, Jelinek, H & Rajkovic, N 2017, Box-counting method in quantitative analysis of images of the brain. in I Dumitrache, AM Florea, F Pop & A Dumitraşcu (eds), Proceedings of the 2017 21st International conference on control systems and computer science (CSCS)., 7968581, IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 343-349, 2017 21st International Conference on Control Systems and Computer Science (CSCS), Bucharest, Romania, 29/05/17. https://doi.org/10.1109/CSCS.2017.53

Box-counting method in quantitative analysis of images of the brain. / Milosevic, Nebojsa; Ieva, Antonio Di; Jelinek, Herbert et al.
Proceedings of the 2017 21st International conference on control systems and computer science (CSCS). ed. / Ioan Dumitrache; Adina Magda Florea; Florin Pop; Alexandru Dumitraşcu. USA: IEEE, Institute of Electrical and Electronics Engineers, 2017. p. 343-349 7968581.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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T1 - Box-counting method in quantitative analysis of images of the brain

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AU - Ieva, Antonio Di

AU - Jelinek, Herbert

AU - Rajkovic, Nemanja

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PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Box-counting

KW - Brain

KW - Computation

KW - MATLAB

KW - Modelling

KW - Neuroanatomy

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DO - 10.1109/CSCS.2017.53

M3 - Conference paper

SN - 9781538618400 (print on demand)

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BT - Proceedings of the 2017 21st International conference on control systems and computer science (CSCS)

A2 - Dumitrache, Ioan

A2 - Florea, Adina Magda

A2 - Pop, Florin

A2 - Dumitraşcu, Alexandru

PB - IEEE, Institute of Electrical and Electronics Engineers

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T2 - 2017 21st International Conference on Control Systems and Computer Science (CSCS)

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ER -

Milosevic N, Ieva AD, Jelinek H, Rajkovic N. Box-counting method in quantitative analysis of images of the brain. In Dumitrache I, Florea AM, Pop F, Dumitraşcu A, editors, Proceedings of the 2017 21st International conference on control systems and computer science (CSCS). USA: IEEE, Institute of Electrical and Electronics Engineers. 2017. p. 343-349. 7968581 doi: 10.1109/CSCS.2017.53

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

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