Automatic segmentation of microvessels using textural analysis

Thomas A. Albert; Carol O'Connor; Patrick D. Harris

doi:10.1117/12.44287

1 July 1991 Automatic segmentation of microvessels using textural analysis

Thomas A. Albert; Carol O'Connor; Patrick D. Harris

Author Affiliations +

Proceedings Volume 1450, Biomedical Image Processing II; (1991) https://doi.org/10.1117/12.44287
Event: Electronic Imaging '91, 1991, San Jose, CA, United States

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.

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Thomas A. Albert, Thomas A. Albert, Carol O'Connor, Carol O'Connor, Patrick D. Harris, Patrick D. Harris, } "Automatic segmentation of microvessels using textural analysis", Proc. SPIE 1450, Biomedical Image Processing II, (1 July 1991); doi: 10.1117/12.44287; https://doi.org/10.1117/12.44287

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