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Proceedings Paper

Automatic segmentation of microvessels using textural analysis
Author(s): Thomas A. Albert; Carol O'Connor; Patrick D. Harris
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Paper Abstract

Interior (luminal) diameter of blood vessels directly controls the amount of blood supplied to a given tissue and is an important parameter for the study of microcirculation. Microvessels are visualized using videomicroscopy, and their diameter can be measured either on or off line. Previous attempts at measurement of these vessels have been performed by direct use of calipers on a calibrated video monitor, or by a video caliper that is manipulated by the investigator. This paper describes the initial work in the development of a new technique for automatically detecting the vessel walls using the gray-level information from these video images. This is the first step toward measuring the vessel diameters. Texture measures are utilized in segmenting the blood vessels via digital image processing (DIP) without user intervention.

Paper Details

Date Published: 1 July 1991
PDF: 6 pages
Proc. SPIE 1450, Biomedical Image Processing II, (1 July 1991); doi: 10.1117/12.44287
Show Author Affiliations
Thomas A. Albert, Univ. of Louisville (United States)
Carol O'Connor, Univ. of Louisville (United States)
Patrick D. Harris, Univ. of Louisville (United States)

Published in SPIE Proceedings Vol. 1450:
Biomedical Image Processing II
Alan Conrad Bovik; Vyvyan Howard, Editor(s)

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