Robust 4D segmentation of cells in confocal images

Authors:
Damien Mischler;Barbara Romaniuk;Aassif Benassarou;Eric Bittar
Affiliations:
CReSTIC-SIC, Reims Champagne-Ardenne University, France;CReSTIC-SIC, Reims Champagne-Ardenne University, France;CReSTIC-SIC, Reims Champagne-Ardenne University, France;CReSTIC-SIC, Reims Champagne-Ardenne University, France
Venue:
Machine Graphics & Vision International Journal
Year:
2006

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Abstract

We present a method to automatically extract the evolution of the cell envelope in 4D confocal images. Our method is based on 4DReAM, a tracking system consisting of a previously presented deformable surface model, which can change its topology. The process consists in attracting the model for each volume of a 4D series towards an iso-surface of interest, and towards the image gradients. We then statistically estimate the characteristics of the cell surface on the nodes of the model, and reconstruct it. We show detailed results on the segmentation of the cell envelope during the mitosis.