{"title":"一种用于动脉血流速度剖面成像的距离-多普勒流量计","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":"{\"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}","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}
A Range-Doppler Flowmeter for Imaging of Blood Velocity Profiles in Arteries
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.