Medical College of Wisconsin
CTSICores SearchResearch InformaticsREDCap

A computerized method for determination of microvascular density. Microvasc Res 1995 Mar;49(2):180-9 PMID: 7603355


Currently accepted stereological methods for vascular density measurements involve manual counting of labeled vessels with a grid image overlay and determination of vessel-grid intersections. This method both is tedious and may be prone to error; therefore, our laboratory has developed a method for computer-automated determination of microvascular density using digital image processing techniques. An image of the microvasculature is acquired using computer videomicroscopy. The image is processed in three general steps, involving (1) background correction, (2) thresholding of the gray level image to create a binary image, and (3) processing of the binary image using erosion, dilation, and skeletonization algorithms. Testing of this procedure was performed on 328 typical images of skeletal muscle tissue sections taken from the hindlimb of Sprague-Dawley rats and quantitated by both traditional measures and our new computer method. Results from this comparison reveal that the automated vessel counting is highly correlated (r2 = 0.71) and decreased analysis time from 15 min/image to 30 sec/image when compared with manual counting methods. Our computer-based method also appears to be superior to the traditional method due to the unbiased and nonsubjective nature of determining vessel-grid intersections.

Author List

Rieder MJ, O'Drobinak DM, Greene AS


Andrew S. Greene PhD Interim Vice Chair, Chief, Professor in the Biomedical Engineering department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Image Processing, Computer-Assisted
Rats, Sprague-Dawley

View this publication's entry at the Pubmed website PMID: 7603355
jenkins-FCD Prod-169 3190624ff63883a964b0308a7647b09582875180