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Algorithm of the Noninvasive Diagnosis Method on the Atherosclerosis by Ultrasonic Doppler Effect

Algorithm of the Noninvasive Diagnosis Method on the Atherosclerosis by Ultrasonic Doppler Effect Previously we proposed Acoustical Imaging and Processing Method to measure the viscoelastic property of the blood vessels of a canine and the related materials using Ultrasonic Doppler Effect Measurement. Furthermore, its theoretical foundation was presented. In this paper, this method is applied to measure the viscoelastic mechanical property, that is, the mechanical degradation of human blood vessels by a percutaneous noninvasive method. Based on these results, we proposed the algorithm of the noninvasive estimation method on the viscoelastic mechanical property of the blood vessel by using Doppler Effect Sensor. This method makes it possible to discriminate the blood vessel with arteriosclerosis from a normal blood vessel. Clinical applications were successfully performed using our developed computer software based on our proposed algorithm. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Bio-Medical Materials and Engineering IOS Press

Algorithm of the Noninvasive Diagnosis Method on the Atherosclerosis by Ultrasonic Doppler Effect

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Publisher
IOS Press
Copyright
Copyright © 1994 by IOS Press, Inc
ISSN
0959-2989
eISSN
1878-3619
DOI
10.3233/BME-1994-4204
Publisher site
See Article on Publisher Site

Abstract

Previously we proposed Acoustical Imaging and Processing Method to measure the viscoelastic property of the blood vessels of a canine and the related materials using Ultrasonic Doppler Effect Measurement. Furthermore, its theoretical foundation was presented. In this paper, this method is applied to measure the viscoelastic mechanical property, that is, the mechanical degradation of human blood vessels by a percutaneous noninvasive method. Based on these results, we proposed the algorithm of the noninvasive estimation method on the viscoelastic mechanical property of the blood vessel by using Doppler Effect Sensor. This method makes it possible to discriminate the blood vessel with arteriosclerosis from a normal blood vessel. Clinical applications were successfully performed using our developed computer software based on our proposed algorithm.

Journal

Bio-Medical Materials and Engineering – IOS Press

Published: Jan 1, 1994

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