| Autor: |
Kishore Mosaliganti, Benjamin Smith, Arnaud Gelas, Alexandre Gouaillard, Sean Megason |
| Rok vydání: |
2009 |
| Zdroj: |
The Insight Journal. |
| ISSN: |
2327-770X |
| Popis: |
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.[2] 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 [1] and its multiphase extension [5] 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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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