3D CONFOCAL MICROSCOPY DATA ANALYSIS USING LEVEL-SET SEGMENTATION WITH ALPHA DIVERGENCE SIMILARITY MEASURE

Leila Meziou; Aymeric Histace; Frédéric Precioso; Bogdan J. Matuszewski; Franck Carreiras

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Paper

3D CONFOCAL MICROSCOPY DATA ANALYSIS USING LEVEL-SET SEGMENTATION WITH ALPHA DIVERGENCE SIMILARITY MEASURE

Topics: Medical Image Applications; Segmentation and Grouping

In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, 405-409, 2012 , Rome, Italy

Authors: Leila Meziou ¹ ; Aymeric Histace ¹ ; Frédéric Precioso ² ; Bogdan J. Matuszewski ³ and Franck Carreiras ⁴

Affiliations: ¹ ETIS UMR 8051 CNRS /ENSEA/ Cergy-Pontoise University, France ; ² I3S - UMR 6070 - CNRS/Nice Sophia Antipolis University, France ; ³ University of Central Lancashire, United Kingdom ; ⁴ Cergy-Pontoise University, France

Keyword(s): Image Segmentation, Active Contours, Alpha-divergence, Level-set, Confocal Microscopy.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Medical Image Applications ; Segmentation and Grouping

Abstract: Segmentation of cellular structures is of primary interest in cell imaging for a 3D reconstruction of cell shape. Such an analysis provides crucial information about cell morphology and is instrumental in understanding of biological processes leading to development of a particular pathology. The work presented in this paper reports on a novel method for segmentation of cellular structures (nuclei and cell boundaries) from 3D single channel actin tagged fluorescence confocal microscopy images. The proposed segmentation method uses histogram-based image similarity measure in a level-set active-contour framework. The novelty of the method is in application of the alpha-divergence distance measure which can be seen as a generalization of classic Kullback-Leibler and c2 measures. The resulting alpha-divergence level-set formulation leads to a single front evolution formula for both nuclei and cell boundaries segmentation, with no requirements for any enhancement or preprocessing of acquir ed cell images (a monolayer of human cells (PNT2) culture). (More)

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Paper citation in several formats:

Meziou, L.; Histace, A.; Precioso, F.; J. Matuszewski, B. and Carreiras, F. (2012). 3D CONFOCAL MICROSCOPY DATA ANALYSIS USING LEVEL-SET SEGMENTATION WITH ALPHA DIVERGENCE SIMILARITY MEASURE. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 405-409. DOI: 10.5220/0003820004050409

@conference{visapp12,
author={Leila Meziou. and Aymeric Histace. and Frédéric Precioso. and Bogdan {J. Matuszewski}. and Franck Carreiras.},
title={3D CONFOCAL MICROSCOPY DATA ANALYSIS USING LEVEL-SET SEGMENTATION WITH ALPHA DIVERGENCE SIMILARITY MEASURE},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={405-409},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003820004050409},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
TI - 3D CONFOCAL MICROSCOPY DATA ANALYSIS USING LEVEL-SET SEGMENTATION WITH ALPHA DIVERGENCE SIMILARITY MEASURE
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Meziou, L.
AU - Histace, A.
AU - Precioso, F.
AU - J. Matuszewski, B.
AU - Carreiras, F.
PY - 2012
SP - 405
EP - 409
DO - 10.5220/0003820004050409
PB - SciTePress