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Image analysis for ...
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Choi, Hyun-JuUppsala universitet,Datoriserad bildanalys,Centrum för bildanalys
(author)
Image analysis for quantifying microvessel density in renal cell carcinoma
- Article/chapterKorean2009
Publisher, publication year, extent ...
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The Korean Society of Medical Informatics,2009
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:uu-114079
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https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-114079URI
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https://doi.org/10.4258/jksmi.2009.15.2.217DOI
Supplementary language notes
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Language:Korean
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Summary in:English
Part of subdatabase
Classification
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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The most widely used method for quantifying new blood vessel growth in tumor angiogenesis is the determination of microvessel density, which is reported to be associated with tumor progression and metastasis, and a prognostic indicator of patient outcome. In this study, we propose a method for the determination of microvessel density by image analysis, to improve the accuracy and the objectivity of determination of the microvessel density. Four-micron-thick tissue sections of renal cell carcinoma samples were stained immunohistochemically for CD34. The regions with a high degree of vascularization were selected by an expert for digitization. Each image was digitized as a 24-bits/pixel image file with a resolution of 640×480 pixels. First, segmentation of the microvessels based on pixel classification using color features in hybrid color space was performed. After use of a correction process for microvessels with discontinuities and separation of touching microvessels, we counted the number of microvessels for the microvessel density measurement. The result was evaluated by comparison with manual quantification of the same images. The comparison revealed that our computerized microvessel quantification was highly correlated with manual counting by a pathologist. The results indicate that our method is better than the conventional computerized image analysis methods.
Subject headings and genre
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Microvessel Density
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Color Features
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Image Analysis
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Computer-assisted Diagnosis
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TECHNOLOGY
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TEKNIKVETENSKAP
Added entries (persons, corporate bodies, meetings, titles ...)
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Uppsala universitetDatoriserad bildanalys
(creator_code:org_t)
Related titles
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In:Journal of Korea Society of Medical Informatics: The Korean Society of Medical Informatics15:2, s. 217-2251225-8903
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