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Fast Tracking of Fluorescent Cells Based on the Chan-Vese Model

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MAŠKA Martin MUNOZ-BARRUTIA Arrate ORTIZ-DE-SOLÓRZANO Carlos

Rok publikování 2012
Druh Článek ve sborníku
Konference 9th IEEE International Symposium on Biomedical Imaging
Fakulta / Pracoviště MU

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Citace
www http://dx.doi.org/10.1109/ISBI.2012.6235805
Obor Informatika
Klíčová slova Cell tracking;Chan-Vese model;fluorescence microscopy;level set framework
Popis We present a fast and robust approach to tracking whole fluorescent cells in time-lapse series. The proposed tracking scheme involves two steps. First, coherence-enhancing diffusion filtering is applied on each frame to reduce the amount of noise and enhance flow-like structures. Second, the enhanced cell boundaries are detected by minimizing the Chan-Vese model in a fast level set-like framework. To allow simultaneous tracking of multiple cells over time, the contour evolution has been integrated with a topological prior exploiting the object indication function. Preliminary tracking experiments on 2D time-lapse series of GFP-transfected adipose-derived stem cells demonstrate high accuracy and short execution times.

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