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Authors: I. Gurevich 1 ; E. Kozina 2 ; A. Myagkov 1 ; H. Niemann 3 ; M. Ugrumov 2 and V. Yashina 1

Affiliations: 1 Dorodnicyn Computing Centre of the Russian Academy of Sciences, Russian Federation ; 2 Koltzov Institute of Developmental Biology of the Russian Academy of Sciences, Russian Federation ; 3 Friedrich-Alexander-University of Erlangen-Nurnberg, Germany

Abstract: This work continues the development of mathematical tools and information technology elements for automated extraction and characterization of objects in striatum section images. The latter are used to construct a Parkinson disease model at a preclinical stage. Previously an automatic segmentation method for extracting of objects from striatum section image was developed. Now it is enhanced and extended to a form of an algorithmic scheme. It allows reducing brain section images to a form appropriate for recognition. Experimental applications of the developed technique have confirmed its high efficiency and suitability for automated processing and analysis of brain section images (a 200 times increase in productivity and a 10 times decrease in the amount of animals and expendables).

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Paper citation in several formats:
Gurevich, I.; Kozina, E.; Myagkov, A.; Niemann, H.; Ugrumov, M. and Yashina, V. (2010). An Algorithmic Scheme for Construction and Investigation of Parkinson’s Disease Model. In Proceedings of the Third International Workshop on Image Mining Theory and Applications - IMTA, (VISIGRAPP 2010) ISBN 978-989-674-030-6, pages 105-114. DOI: 10.5220/0002963601050114

@conference{imta10,
author={I. Gurevich. and E. Kozina. and A. Myagkov. and H. Niemann. and M. Ugrumov. and V. Yashina.},
title={An Algorithmic Scheme for Construction and Investigation of Parkinson’s Disease Model},
booktitle={Proceedings of the Third International Workshop on Image Mining Theory and Applications - IMTA, (VISIGRAPP 2010)},
year={2010},
pages={105-114},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002963601050114},
isbn={978-989-674-030-6},
}

TY - CONF

JO - Proceedings of the Third International Workshop on Image Mining Theory and Applications - IMTA, (VISIGRAPP 2010)
TI - An Algorithmic Scheme for Construction and Investigation of Parkinson’s Disease Model
SN - 978-989-674-030-6
AU - Gurevich, I.
AU - Kozina, E.
AU - Myagkov, A.
AU - Niemann, H.
AU - Ugrumov, M.
AU - Yashina, V.
PY - 2010
SP - 105
EP - 114
DO - 10.5220/0002963601050114