Vestnik NSU. Series: Information Technologies
Novosibirsk State University Journal of Information Technologies
Scientic Journal

ISSN 2410-0420 (Online), ISSN 1818-7900 (Print)

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All Issues >> Contents: Volume 15, Issue No 4 (2017)

Automated Segmentation of the Lateral Ventricles from MRI Image
Evgeniy Aleksandrovich Zuenko, Angelika Arsentievna Shulunova

University of Innsbruck
Siberian State Aerospace University

DOI: DOI 10.25205/1818-7900-2017-15-4-22-31
UDC code: 004.932.1:616.831.38

The aim of this work was to create a fully-automated segmentation algorithm for the lateral brain ventricles from 3-D MRI T1-weighted scans. The algorithm is based on atlas-based definition of a region of interest, followed by iterative filling, provided on a the distance map.

Key Words
automated segmentation, brain imaging, neuroimaging, atlas-based segmentation, MRI, lateral ventricles

How to cite:
Zuenko E. A., Shulunova A. A. Automated Segmentation of the Lateral Ventricles from MRI Image // Vestnik NSU Series: Information Technologies. - 2017. - Volume 15, Issue No 4. - P. 22-31. - DOI 10.25205/1818-7900-2017-15-4-22-31. - ISSN 1818-7900. (in Russian).

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Publication information
Main title Vestnik NSU Series: Information Technologies, Volume 15, Issue No 4 (2017).
Parallel title: Novosibirsk State University Journal of Information Technologies Volume 15, Issue No 4 (2017).

Key title: Vestnik Novosibirskogo gosudarstvennogo universiteta. Seriâ: Informacionnye tehnologii
Abbreviated key title: Vestn. Novosib. Gos. Univ., Ser.: Inf. Tehnol.
Variant title: Vestnik NGU. Seriâ: Informacionnye tehnologii

Year of Publication: 2017
ISSN: 1818-7900 (Print), ISSN 2410-0420 (Online)
Publisher: Novosibirsk State University Press
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