Today, studies on biological systems are often realized acquiring, processing and analyzing 3D-time lapse images. Different structures of the organism can be simultaneously observed by acquiring multi-channel image datasets. In this paper we present a software framework that aims at providing support for managing these kinds of multidimensional images, designing and validating new image processing algorithms, and analyzing processed images through different visualization techniques. We present a real scenario where the framework has been used for the detection and segmentation of biological cell membranes and nuclei imaged from live zebrafish embryos.

A Framework for 4-D Biomedical Image Processing, Visualization and Analysis

CAMPANA, MATTEO;RIZZI, BARBARA;SARTI, ALESSANDRO
2008

Abstract

Today, studies on biological systems are often realized acquiring, processing and analyzing 3D-time lapse images. Different structures of the organism can be simultaneously observed by acquiring multi-channel image datasets. In this paper we present a software framework that aims at providing support for managing these kinds of multidimensional images, designing and validating new image processing algorithms, and analyzing processed images through different visualization techniques. We present a real scenario where the framework has been used for the detection and segmentation of biological cell membranes and nuclei imaged from live zebrafish embryos.
Proceedings of the Third International Conference on Computer Graphics Theory and Applications
403
408
M. Campana; B. Rizzi; P. Bourgine; N. Peyriéras; A. Sarti
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/79787
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