{"title":"超声粒子图像测速中速度矢量校正算法","authors":"L. Niu, Hairong Zheng","doi":"10.1109/ICBBE.2009.5162299","DOIUrl":null,"url":null,"abstract":"We have recently developed a novel contrast-based ultrasonic particle imaging technique (Echo PIV) for multi-dimensional blood flow imaging. In the technique, the quality of vectors is important for quantitative blood flow imaging. Here we introduce an algorithm for vectors correction by filtering in frequency domain and applying continuity equation. The algorithm was tested in the Echo PIV imaging of rotational flow field and found to be effective in improving the quantitative blood flow imaging quality.","PeriodicalId":6430,"journal":{"name":"2009 3rd International Conference on Bioinformatics and Biomedical Engineering","volume":"30 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Algorithms for Correcting Velocity Vectors in Ultrasonic Particle Image Velocimetry\",\"authors\":\"L. Niu, Hairong Zheng\",\"doi\":\"10.1109/ICBBE.2009.5162299\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We have recently developed a novel contrast-based ultrasonic particle imaging technique (Echo PIV) for multi-dimensional blood flow imaging. In the technique, the quality of vectors is important for quantitative blood flow imaging. Here we introduce an algorithm for vectors correction by filtering in frequency domain and applying continuity equation. The algorithm was tested in the Echo PIV imaging of rotational flow field and found to be effective in improving the quantitative blood flow imaging quality.\",\"PeriodicalId\":6430,\"journal\":{\"name\":\"2009 3rd International Conference on Bioinformatics and Biomedical Engineering\",\"volume\":\"30 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 3rd International Conference on Bioinformatics and Biomedical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICBBE.2009.5162299\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 3rd International Conference on Bioinformatics and Biomedical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBBE.2009.5162299","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Algorithms for Correcting Velocity Vectors in Ultrasonic Particle Image Velocimetry
We have recently developed a novel contrast-based ultrasonic particle imaging technique (Echo PIV) for multi-dimensional blood flow imaging. In the technique, the quality of vectors is important for quantitative blood flow imaging. Here we introduce an algorithm for vectors correction by filtering in frequency domain and applying continuity equation. The algorithm was tested in the Echo PIV imaging of rotational flow field and found to be effective in improving the quantitative blood flow imaging quality.