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

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available