Pasynkov D V, Kolchev A A, Egoshin I A, Klyushkin I V, Pasynkova O O
Mari State University, Yoshkar-Ola, Russia.
Kazan (Volga Region) Federal University, Kazan, Russia.
Biomed Eng (NY). 2023;57(1):23-27. doi: 10.1007/s10527-023-10259-x. Epub 2023 Apr 17.
Three approaches to automatic measurement of the diameter of pulsating blood vessels on ultrasound images in the video stream mode are considered. The use of such approaches for continuous monitoring of vascular wall movements during the cardiac cycle provides for both early diagnosis of cardiovascular diseases and identification of risk factors for these diseases (in particular, vascular atherosclerosis). The operation of the proposed algorithms was studied using sets of ultrasound images of real patients' blood vessels. Experimental results are presented demonstrating that these algorithms can be used for solving clinical problems, including for further building of models of vessel pulsation.
考虑了三种在视频流模式下自动测量超声图像上脉动血管直径的方法。使用这些方法在心动周期中持续监测血管壁运动，既有助于心血管疾病的早期诊断，也有助于识别这些疾病的危险因素（特别是血管动脉粥样硬化）。使用真实患者血管的超声图像集研究了所提出算法的运行情况。给出的实验结果表明，这些算法可用于解决临床问题，包括进一步构建血管脉动模型。
