{"title":"红细胞聚集的三维超声模型","authors":"Kenyan Wu, Zerong Liao","doi":"10.1109/ICCSCE47578.2019.9068589","DOIUrl":null,"url":null,"abstract":"An ultrasonic simulation method of erythrocyte aggregation with different levels in the blood is presented in this paper. Gamma distribution and Gaussian distribution are used simultaneity. A set of 3D ultrasound phantoms based on Gamma distribution gamma distributions is built to be implemented from the random to clustered scatterer distributions by adjusting the shape parameter $\\alpha$ and scale parameter $\\beta$ and the parameters of normal distribution. In the simulation study, firstly, Matlab platform is used to establish the geometric model, and the shape parameters $\\alpha$ of gamma distribution are set as 1, 0.5, 0.1, 0.05, 0.02, 0.01, respectively. Secondly, the ultrasonic echo radio-frequency (RF) signals of each scattering model are obtained by the Field II software, and the echo envelope signals are calculated by the Nakagami distribution parameters. To verify the effectiveness and feasibility of the simulation model, in vitro experiments are carried out with the hematocrit levels of 40%. Six degrees of RBC aggregation suspension samples are acquired by diluting plasma concentration, and the plasma concentrations (the ratio of plasma to PBS-Plasma solutions) are 0%, 15%, 30%, 45%, 60%, 75%, respectively. The echoed ultrasound RF signals and their B-model images are obtained by using a 40-MHz linear array transducer in vitro experiments. Finally, Nakagami parameters $m$ and $\\Omega$ of the backscattered RF signals of simulation experiments and in vitro experiments are calculated and compared. And the relative error of the normalized Nakagami $m$ and $\\Omega$ between simulation and in vitro experiments are 0.00, 0.0050, 0.0003, 0.0019, 0.0026, 0.0050 and 0.00, 0.0795, 0.0054, 0.0715, 0.0241, 0.0832, respectively.","PeriodicalId":221890,"journal":{"name":"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A 3D Ultrasound Model of Red Blood Cell Aggregation\",\"authors\":\"Kenyan Wu, Zerong Liao\",\"doi\":\"10.1109/ICCSCE47578.2019.9068589\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An ultrasonic simulation method of erythrocyte aggregation with different levels in the blood is presented in this paper. Gamma distribution and Gaussian distribution are used simultaneity. A set of 3D ultrasound phantoms based on Gamma distribution gamma distributions is built to be implemented from the random to clustered scatterer distributions by adjusting the shape parameter $\\\\alpha$ and scale parameter $\\\\beta$ and the parameters of normal distribution. In the simulation study, firstly, Matlab platform is used to establish the geometric model, and the shape parameters $\\\\alpha$ of gamma distribution are set as 1, 0.5, 0.1, 0.05, 0.02, 0.01, respectively. Secondly, the ultrasonic echo radio-frequency (RF) signals of each scattering model are obtained by the Field II software, and the echo envelope signals are calculated by the Nakagami distribution parameters. To verify the effectiveness and feasibility of the simulation model, in vitro experiments are carried out with the hematocrit levels of 40%. Six degrees of RBC aggregation suspension samples are acquired by diluting plasma concentration, and the plasma concentrations (the ratio of plasma to PBS-Plasma solutions) are 0%, 15%, 30%, 45%, 60%, 75%, respectively. The echoed ultrasound RF signals and their B-model images are obtained by using a 40-MHz linear array transducer in vitro experiments. Finally, Nakagami parameters $m$ and $\\\\Omega$ of the backscattered RF signals of simulation experiments and in vitro experiments are calculated and compared. And the relative error of the normalized Nakagami $m$ and $\\\\Omega$ between simulation and in vitro experiments are 0.00, 0.0050, 0.0003, 0.0019, 0.0026, 0.0050 and 0.00, 0.0795, 0.0054, 0.0715, 0.0241, 0.0832, respectively.\",\"PeriodicalId\":221890,\"journal\":{\"name\":\"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSCE47578.2019.9068589\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSCE47578.2019.9068589","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文提出了一种超声模拟血液中不同水平红细胞聚集的方法。同时采用伽玛分布和高斯分布。通过调整形状参数$\alpha$、尺度参数$\beta$和正态分布参数,构建了一组基于Gamma分布的三维超声模型,实现了从随机散射体到聚类散射体的分布。在仿真研究中,首先利用Matlab平台建立几何模型,将gamma分布的形状参数$\alpha$分别设置为1、0.5、0.1、0.05、0.02、0.01。其次,利用Field II软件获取各散射模型的超声回波射频(RF)信号,利用Nakagami分布参数计算回波包络信号;为了验证模拟模型的有效性和可行性,我们在红细胞压积水平为40的情况下进行了体外实验%. Six degrees of RBC aggregation suspension samples are acquired by diluting plasma concentration, and the plasma concentrations (the ratio of plasma to PBS-Plasma solutions) are 0%, 15%, 30%, 45%, 60%, 75%, respectively. The echoed ultrasound RF signals and their B-model images are obtained by using a 40-MHz linear array transducer in vitro experiments. Finally, Nakagami parameters $m$ and $\Omega$ of the backscattered RF signals of simulation experiments and in vitro experiments are calculated and compared. And the relative error of the normalized Nakagami $m$ and $\Omega$ between simulation and in vitro experiments are 0.00, 0.0050, 0.0003, 0.0019, 0.0026, 0.0050 and 0.00, 0.0795, 0.0054, 0.0715, 0.0241, 0.0832, respectively.
A 3D Ultrasound Model of Red Blood Cell Aggregation
An ultrasonic simulation method of erythrocyte aggregation with different levels in the blood is presented in this paper. Gamma distribution and Gaussian distribution are used simultaneity. A set of 3D ultrasound phantoms based on Gamma distribution gamma distributions is built to be implemented from the random to clustered scatterer distributions by adjusting the shape parameter $\alpha$ and scale parameter $\beta$ and the parameters of normal distribution. In the simulation study, firstly, Matlab platform is used to establish the geometric model, and the shape parameters $\alpha$ of gamma distribution are set as 1, 0.5, 0.1, 0.05, 0.02, 0.01, respectively. Secondly, the ultrasonic echo radio-frequency (RF) signals of each scattering model are obtained by the Field II software, and the echo envelope signals are calculated by the Nakagami distribution parameters. To verify the effectiveness and feasibility of the simulation model, in vitro experiments are carried out with the hematocrit levels of 40%. Six degrees of RBC aggregation suspension samples are acquired by diluting plasma concentration, and the plasma concentrations (the ratio of plasma to PBS-Plasma solutions) are 0%, 15%, 30%, 45%, 60%, 75%, respectively. The echoed ultrasound RF signals and their B-model images are obtained by using a 40-MHz linear array transducer in vitro experiments. Finally, Nakagami parameters $m$ and $\Omega$ of the backscattered RF signals of simulation experiments and in vitro experiments are calculated and compared. And the relative error of the normalized Nakagami $m$ and $\Omega$ between simulation and in vitro experiments are 0.00, 0.0050, 0.0003, 0.0019, 0.0026, 0.0050 and 0.00, 0.0795, 0.0054, 0.0715, 0.0241, 0.0832, respectively.