Paper
15 January 1996 Dimensional analysis of blood vessel images in real time
Peter Richard Smith, Almudena Eustaquio-Martin, Harry Thomason, M. Bennett, H. Thurston
Author Affiliations +
Abstract
The physiology and pathology of dissected blood vessels are studied by perfusion myography combined with video microscopy. Images of the vessels are formed under diffuse white light illumination and contrast is achieved by differential absorption with respect to the vessel wall. To obtain the vessel dimensional information in quasi real time an edge-tracking algorithm is used, allowing the edges to be found by applying common image processing tools to a very small number of pixels rather than the whole image. Employing a low order optical model of the light transmission properties of vessels with circular cross section, a relationship between the positions of edges found by a typical image processing algorithm and actual dimensions is derived. The dimensional analysis is demonstrated on rat mesenteric resistance arteries (internal diameter less than 300 micrometer) mounted in a perfusion arteriograph. Segments of vessels are secured on two glass cannulae using single strands of a nylon braided suture. The artery is perfused with physiological salt solution and the perfusion pressure maintained at 60 mmHg before starting the experiment. Changes in vascular diameter to the vasoconstrictor noradrenaline and the endothelium-dependent vasodilator acetylcholine were then observed.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peter Richard Smith, Almudena Eustaquio-Martin, Harry Thomason, M. Bennett, and H. Thurston "Dimensional analysis of blood vessel images in real time", Proc. SPIE 2628, Optical and Imaging Techniques for Biomonitoring, (15 January 1996); https://doi.org/10.1117/12.230005
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Cited by 2 scholarly publications.
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KEYWORDS
Blood vessels

Arteries

Detection and tracking algorithms

Image processing

Resistance

Edge detection

Data modeling

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