Counting number of cells and celll segmentation using advection-diffusion equations

Title:

Counting number of cells and celll segmentation using advection-diffusion equations

Creator:

Frolkovič, Peter, Mikula, Karol, Peyriéras, Nadine, and Sarti, Alex

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:dc0c181a-f0e3-4db2-ad2d-f152d8b6e18d
uuid:dc0c181a-f0e3-4db2-ad2d-f152d8b6e18d

Subject:

image processing, partial differential equations, nonlinear advection-diffusion equations, flux-based level set method, subjective surface method, and embryogenesis

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

We develop a method for counting number of cells and extraction of approximate cell centers in 2D and 3D images of early stages of the zebra-fish embryogenesis. The approximate cell centers give us the starting points for the subjective surface based cell segmentation. We move in the inner normal direction all level sets of nuclei and membranes images by a constant speed with slight regularization of this flow by the (mean) curvature. Such multi-scale evolutionary process is represented by a geometrical advection-diffusion equation which gives us at a certain scale the desired information on the number of cells. For solving the problems computationally we use flux-based finite volume level set method developed by Frolkovič and Mikula in \cite{FM1} and semi-implicit co-volume subjective surface method given in \cite{CMSSg, MSSg_CVS, MSSg_chapter}. Computational experiments on testing and real 2D and 3D embryogenesis images are presented and the results are discussed.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Coverage:

[817]-829

Source:

Kybernetika | 2007 Volume:43 | Number:6

Harvested from:

CDK

Metadata only:

false