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To investigate the ability of MRI to detect alterations due to renal ischemia, a rabbit renal artery stenosis (RAS) model was developed. Seven rabbits had RAS induced by surgically encircling the artery with a polyethylene band which had a lumen of 1 mm, 1 to 2 weeks prior to imaging. The stenosis was confirmed by angiography, and the rabbits were then(More)
In a joint project between the Department of Computer and Information Sciences and the Department of Radiology, we are applying techniques of artificial intelligence to improve clinical performance in coronary arteries. Specifically, we are investigating how images from intravenous digital subtraction angiography (DSA) can be enhanced so that their efficacy(More)
A television image processing system for diagnostic radiology using the techniques of contrast enhancement, aperture correction, and highlight inversion is described together with a method for objectively evaluating its usefulness. The evaluation is done by comparing error rates of observers viewing a specially prepared set of chest radiographs through the(More)
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