DocumentCode
380126
Title
Automatic metaphase finding by inter-chromosome extrema profile analysis
Author
Vega-Alvarado, Leticia ; Márquez, Jorge ; Corkidi, Gabriel
Author_Institution
Instituto de Biotecnologia, Univ. Nacional Autonoma de Mexico, Morelos, Mexico
Volume
3
fYear
2001
fDate
2001
Firstpage
2560
Abstract
In this paper we report our experiences with a new texture coarseness measure, as a step towards automation of metaphase finding in cell proliferation studies. This measure is highly specific to grey-level inter-chromosome coarseness features in microscopic images of metaphase spreads, and allows to quantify the texture of the cytological objects analysing the intensity profile between chromosome-extrema samples. Chromosome fragments produce patterns of pixels at low-resolution, and the local neighbourhood of their individual extrema presents a characteristic coarseness, along intensity profiles on random-oriented test lines. Results of its use on images of fields of metaphases and artefacts are compared with some representative texture measures, outperforming metaphase detection and artefacts elimination. This coarseness feature provides a specific metaphase signature that can be used in conjunction with other morphological and textural parameters for automated metaphase discrimination.
Keywords
biomedical optical imaging; cellular biophysics; genetics; image texture; medical image processing; optical microscopy; automatic metaphase finding; cell proliferation evaluation; cell proliferation studies; chromosome fragments; cytological objects; drugs safety; grey-level interchromosome coarseness features; interchromosome extrema profile analysis; medical genetics; metaphase spreads; microscopic images; mutagenicity; radiation health monitoring; texture coarseness measure; toxicological studies; Biological cells; Biomedical measurements; Biomedical monitoring; Data mining; Drugs; Genetics; Image texture analysis; Instruments; Microscopy; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-7211-5
Type
conf
DOI
10.1109/IEMBS.2001.1017302
Filename
1017302
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