Literature DB >> 16263106

Reconstruction and representation of caudal vasculature of zebrafish embryo from confocal scanning laser fluorescence microscopic images.

Jun Feng1, Shuk Han Cheng, Po K Chan, Horace H S Ip.   

Abstract

Three-dimensional (3D) reconstruction from a series of sections is an important technique in medical imaging, particularly for visualization of blood vessels from angiography. Here, we present a framework for automatic segmentation and registration of different kind of blood vessels from 2-day-old zebrafish embryos. Series of optical sections were acquired from confocal microscopy with the blood vessels labeled by fluorescent microbeads (0.02 microm) injected into blood stream of 2-day-old zebrafish embryos. Blood vessels were extracted and their morphological parameters, including length and diameter, were calculated. At the same time, individual blood vessels were registered automatically. Vasculature was represented by attributed vessel represent graph (AVRG), which contained morphological data and connectivity of every blood vessel. Using AVRG to represent a vasculature made the comparison between vasculatures of different embryos more easy. Visualization, as well as quantification, of reconstructed 3D model of AVRG was presented in an interactive interface. The framework was implemented by Visual C++ as Windows-based program.

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Year:  2005        PMID: 16263106     DOI: 10.1016/j.compbiomed.2004.05.003

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  4 in total

1.  Optimized U-Net model for 3D light-sheet image segmentation of zebrafish trunk vessels.

Authors:  Jingyi Yin; Guang Yang; Xiaofei Qin; Hui Li; Linbo Wang
Journal:  Biomed Opt Express       Date:  2022-04-21       Impact factor: 3.562

2.  Zebrafish Embryo Vessel Segmentation Using a Novel Dual ResUNet Model.

Authors:  Kun Zhang; Hongbin Zhang; Huiyu Zhou; Danny Crookes; Ling Li; Yeqin Shao; Dong Liu
Journal:  Comput Intell Neurosci       Date:  2019-02-03

3.  ZebIAT, an image analysis tool for registering zebrafish embryos and quantifying cancer metastasis.

Authors:  Teppo Annila; Eero Lihavainen; Ines J Marques; Darren R Williams; Olli Yli-Harja; Andre Ribeiro
Journal:  BMC Bioinformatics       Date:  2013-08-12       Impact factor: 3.169

4.  3-Dimensional histological reconstruction and imaging of the murine pancreas.

Authors:  Steven L Ciciotte; Mark Lessard; Ellen C Akeson; Elizabeth Cameron; Timothy M Stearns; James M Denegre; Jesus Ruberte; Karen L Svenson
Journal:  Mamm Genome       Date:  2014-05-18       Impact factor: 2.957

  4 in total

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