{"title":"A Range-Doppler Flowmeter for Imaging of Blood Velocity Profiles in Arteries","authors":"P. Tortoli, F. Andreuccetti, G. Manes, C. Atzeni","doi":"10.1109/ULTSYM.1985.198655","DOIUrl":null,"url":null,"abstract":"Range-Doppler detection in a pulsed ultrasound flowmeter has been performed using a SAW-CZT spectrum analyzer, providing adequate speed for realtime sequential Doppler analysis in a large number of range cells. In vitro experiments using a prototype 32 range cell system, first presented at the 1983 Symposium, demonstrated the capability of providing the instantaneous flow velocity profiles across a vessel. Recent work is reported, directed to make the system clinically experimentable in vivo. Impressive real-time images of blood flow profiles in fimjor human vessels have been obtained. D oppler signal output at 3 MHz rate from the SAW-CZT spectrum analyzer has been digitally processed to extract the mean velocity for each range cell. A microprocessor has been used to estimate the dynamic evolution of blood flow in detail.","PeriodicalId":240321,"journal":{"name":"IEEE 1985 Ultrasonics Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE 1985 Ultrasonics Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ULTSYM.1985.198655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Range-Doppler detection in a pulsed ultrasound flowmeter has been performed using a SAW-CZT spectrum analyzer, providing adequate speed for realtime sequential Doppler analysis in a large number of range cells. In vitro experiments using a prototype 32 range cell system, first presented at the 1983 Symposium, demonstrated the capability of providing the instantaneous flow velocity profiles across a vessel. Recent work is reported, directed to make the system clinically experimentable in vivo. Impressive real-time images of blood flow profiles in fimjor human vessels have been obtained. D oppler signal output at 3 MHz rate from the SAW-CZT spectrum analyzer has been digitally processed to extract the mean velocity for each range cell. A microprocessor has been used to estimate the dynamic evolution of blood flow in detail.