Abstract

We present a study on a new modeling based approach to cell segmentation and its application to cell detection in 3D space. As a model, we use an ellipsoid to which three types of deformation can be applied, namely translation, rotation, and scaling. The geometric and intensity parameters of the models are optimized independently at each iteration step. The purpose of this approach is to derive a virtual ""fitting"" Pseudo-Force that drives the ellipsoid to the apparent boundaries of the cell. In an environment where a number of cells can coexist and partially overlap, it is also necessary to model the inter-object constraints that limit the extent to which overlap is possible. We propose to implement this constraint as an ""interaction"" force that will counteract the ""fitting"" force and prevent two objects from occupying the same space.

Notes

Poster presented at the 2007 Thrust R2B Localized Probing and Mosaicing Methods Conference

Keywords

3-D Segmentation, Aggregated-Nuclei

Subject Categories

Three-dimensional imaging

Disciplines

Engineering

Publisher

Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems (Gordon-CenSSIS)

Publication Date

2007

Rights Holder

Bernard M. Gordon Center for Subsurface Sensing and Imaging Systems (Gordon-CenSSIS)

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