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.
| Language | English |
|---|---|
| Title of host publication | 2017 21st International Conference on Control Systems and Computer Science (CSCS) : proceedings |
| Editors | Dumitrache, AM Florea, F Pop, A Dumitrascu |
| Place of Publication | Piscataway, NJ, USA |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 343-349 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781538618394 |
| ISBN (Print) | 9781538618400 |
| DOIs | |
| Publication status | Published - 5 Jul 2017 |
| Event | 21st International Conference on Control Systems and Computer Science, CSCS 2017 - Bucharest Duration: 29 May 2017 → 31 May 2017 |
Conference
| Conference | 21st International Conference on Control Systems and Computer Science, CSCS 2017 |
|---|---|
| City | Bucharest |
| Period | 29/05/17 → 31/05/17 |
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Keywords
- Box-counting
- Brain
- Computation
- Fractal
- MATLAB
- Modelling
- Neuroanatomy
Cite this
}
Box-counting method in quantitative analysis of images of the brain. / Milosevic, Nebojsa T.; Di Ieva, Antionio; Jelinek, Herbert; Rajkovic, Nemanja.
2017 21st International Conference on Control Systems and Computer Science (CSCS) : proceedings. ed. / Dumitrache; AM Florea; F Pop; A Dumitrascu. Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 343-349 7968581.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › Research › peer-review
TY - GEN
T1 - Box-counting method in quantitative analysis of images of the brain
AU - Milosevic, Nebojsa T.
AU - Di Ieva, Antionio
AU - Jelinek, Herbert
AU - Rajkovic, Nemanja
PY - 2017/7/5
Y1 - 2017/7/5
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 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.
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 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.
KW - Box-counting
KW - Brain
KW - Computation
KW - Fractal
KW - MATLAB
KW - Modelling
KW - Neuroanatomy
UR - http://www.scopus.com/inward/record.url?scp=85027496082&partnerID=8YFLogxK
U2 - 10.1109/CSCS.2017.53
DO - 10.1109/CSCS.2017.53
M3 - Conference proceeding contribution
SN - 9781538618400
SP - 343
EP - 349
BT - 2017 21st International Conference on Control Systems and Computer Science (CSCS) : proceedings
A2 - Dumitrache, null
A2 - Florea, AM
A2 - Pop, F
A2 - Dumitrascu, A
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway, NJ, USA
ER -