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Cell Tracking using Coupled Active Surfaces for Nuclei and Membranes
|Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3055|
Submitted by Kishore Mosaliganti on 05-08-2009.
An Insight Toolkit (ITK) processing framework for segmenting and tracking nuclei in time-lapse microscopy images using coupled active contours is presented in this paper. We implement the method of Dufour et al. to segment and track cells in fluorescence microscopy images. The basic idea is to model the image as a constant intensity background with constant intensity foreground components. We utilizes our earlier submissions on the Chan and Vese algorithm  and its multiphase extension  to build our new tracking filter. The tracking filter itk::MultiphaseLevelSetTracking inputs a segmentation result (or a coarse estimate) from the previous time-point along with the feature image and generates a new segmentation output. By iteratively repeating this process across all time-points, real-time tracking is made possible. We include 2D/3D example code, parameter settings and show the results generated on a 2D zebrafish embryo image series.
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|Categories:||Derivatives and Integrals, Level sets|
|Keywords:||Level sets,, cell tracking, segmentation|
|Toolkits:||CMake, ITK (moved into the sandbox), CMake, ITK (moved into the sandbox)|
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