Suppr超能文献

基于基维特图的脉冲波多普勒设备性能评估的比较方法。

Comparative Approach to Performance Estimation of Pulsed Wave Doppler Equipment Based on Kiviat Diagram.

作者信息

Fiori Giorgia, Scorza Andrea, Schmid Maurizio, Conforto Silvia, Sciuto Salvatore Andrea

机构信息

Department of Industrial, Electronic and Mechanical Engineering, University of Roma Tre, 00146 Rome, Italy.

出版信息

Sensors (Basel). 2024 Oct 9;24(19):6491. doi: 10.3390/s24196491.

Abstract

Quality assessment of ultrasound medical systems is a demanding task due to the high number of parameters to quantify their performance: in the present study, a Kiviat diagram-based integrated approach was proposed to effectively combine the contribution of some experimental parameters and quantify the overall performance of pulsed wave Doppler (PWD) systems for clinical applications. Four test parameters were defined and assessed through custom-written measurement methods based on image analysis, implemented in the MATLAB environment, and applied to spectral images of a flow phantom, i.e., average maximum velocity sensitivity (AMVS), velocity measurements accuracy (VeMeA), lowest detectable signal (LDS), and the velocity profile discrepancy index (VPDI). The parameters above were scaled in a standard range to represent the four vertices of a Kiviat plot, whose area was considered the overall quality index of the ultrasound system in PWD mode. Five brand-new ultrasound diagnostic systems, equipped with linear array probes, were tested in two different working conditions using a commercial flow phantom as a reference. The promising results confirm the robustness of AMVS, VeMeA, and LDS parameters while suggesting further investigations on the VPDI.

摘要

由于需要量化超声医学系统性能的参数众多,对其进行质量评估是一项艰巨的任务:在本研究中,提出了一种基于基维特图的综合方法,以有效地结合一些实验参数的贡献,并量化用于临床应用的脉冲波多普勒(PWD)系统的整体性能。通过基于图像分析的自定义测量方法定义并评估了四个测试参数,这些方法在MATLAB环境中实现,并应用于流动模型的频谱图像,即平均最大速度灵敏度(AMVS)、速度测量精度(VeMeA)、最低可检测信号(LDS)和速度剖面差异指数(VPDI)。上述参数在标准范围内进行缩放,以代表基维特图的四个顶点,其面积被视为超声系统在PWD模式下的整体质量指标。使用商用流动模型作为参考,在两种不同的工作条件下对五个配备线性阵列探头的全新超声诊断系统进行了测试。这些有前景的结果证实了AMVS、VeMeA和LDS参数的稳健性,同时建议对VPDI进行进一步研究。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验