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Robust 4D segmentation of cells in confocal images

Mischler D., Romaniuk B., Benassarou A., Bittar E.

Machine Graphics and Vision

2006

Vol. 15, No. 3/4

515-524

We present a method to automatically extract the evolution of the cell envelope in 4D confocal images. Our method is based on 4D ReAM, 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.