{"title":"一个改进的血液流速估计优化实时超声流应用","authors":"M. Sturgill, R. H. Love, B. K. Herres","doi":"10.1109/ULTSYM.1990.171609","DOIUrl":null,"url":null,"abstract":"An approach in which maximum entropy spectral estimation techniques are used was applied to color Doppler imaging systems with significant improvements in the results. In order to compare and contrast the performances of different frequency estimation algorithms used in color Doppler systems, eight criteria for color Dopper performance were derived from clinical application requirements. These are velocity range, frame rate, penetration, accuracy, velocity resolution, spatial resolution, sensitivity, and unresolved flow. The goal in choosing an estimation algorithm is to be robust in each of these eight areas. These criteria are used as a basis for contrasting the maximum entropy method (MEM) with other estimators. The theoretical development of the MEM algorithm and the simulation results are presented.<<ETX>>","PeriodicalId":412254,"journal":{"name":"IEEE Symposium on Ultrasonics","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An improved blood velocity estimator optimized for real-time ultrasound flow applications\",\"authors\":\"M. Sturgill, R. H. Love, B. K. Herres\",\"doi\":\"10.1109/ULTSYM.1990.171609\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An approach in which maximum entropy spectral estimation techniques are used was applied to color Doppler imaging systems with significant improvements in the results. In order to compare and contrast the performances of different frequency estimation algorithms used in color Doppler systems, eight criteria for color Dopper performance were derived from clinical application requirements. These are velocity range, frame rate, penetration, accuracy, velocity resolution, spatial resolution, sensitivity, and unresolved flow. The goal in choosing an estimation algorithm is to be robust in each of these eight areas. These criteria are used as a basis for contrasting the maximum entropy method (MEM) with other estimators. The theoretical development of the MEM algorithm and the simulation results are presented.<<ETX>>\",\"PeriodicalId\":412254,\"journal\":{\"name\":\"IEEE Symposium on Ultrasonics\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Symposium on Ultrasonics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ULTSYM.1990.171609\",\"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 Symposium on Ultrasonics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ULTSYM.1990.171609","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An improved blood velocity estimator optimized for real-time ultrasound flow applications
An approach in which maximum entropy spectral estimation techniques are used was applied to color Doppler imaging systems with significant improvements in the results. In order to compare and contrast the performances of different frequency estimation algorithms used in color Doppler systems, eight criteria for color Dopper performance were derived from clinical application requirements. These are velocity range, frame rate, penetration, accuracy, velocity resolution, spatial resolution, sensitivity, and unresolved flow. The goal in choosing an estimation algorithm is to be robust in each of these eight areas. These criteria are used as a basis for contrasting the maximum entropy method (MEM) with other estimators. The theoretical development of the MEM algorithm and the simulation results are presented.<>