Nguyen Thuy Thu, Espinoza Andreas W, Hyler Stefan, Remme Espen W, D'hooge Jan, Hoff Lars
Department of Microsystems, University of South-Eastern Norway, Horten, Norway.
The Intervention Centre, Oslo University Hospital, Rikshospitalet, Oslo, Norway; Department of Anaesthesiology, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
Ultrasound Med Biol. 2019 Nov;45(11):2958-2969. doi: 10.1016/j.ultrasmedbio.2019.07.416. Epub 2019 Aug 22.
This paper describes an ultrasound system to monitor cardiac motion using miniature transducers attached directly to the epicardial surface. Our aim was to develop both a research tool for detailed studies of cardiac mechanics and a continuous, real time system for peri-operative evaluation of heart function. The system was tested on a porcine model. Two 3 mm diameter, 10 MHz ultrasound transducers were sutured to the epicardial surface. As the epicardial surface was the reference for the velocity and strain estimations, this procedure compensated for the motion of the heart. The short distance allowed for the use of high frequencies and pulse repetition rates. The system was driven in pulse-echo mode, using electronics developed for the application, and radio frequency (RF) lines were recorded at a pulse repetition rate of 2500 s. The endocardial border was detected using an algorithm based on fuzzy logic with filtration to reduce noise and remove outliers, and the myocardium was divided into four layers. Inside the myocardium, radial tissue velocity as a function of depth was calculated from the recorded RF signals, and the velocity estimates were used to estimate radial strain rate and strain and to track the motion of the myocardial layers. The scope of this paper is technical, giving a detailed description of system design, hardware electronics and algorithms, with examples of processed velocity patterns and myocardial strain curves. The results from this study on a porcine model demonstrate the system's ability to estimate myocardial velocity and strain patterns and to track the motion of the myocardial layers, thereby obtaining detailed information of the regional function of the myocardium.
本文介绍了一种超声系统,该系统使用直接附着于心外膜表面的微型换能器来监测心脏运动。我们的目标是开发一种用于详细研究心脏力学的研究工具以及一种用于围手术期心脏功能评估的连续实时系统。该系统在猪模型上进行了测试。将两个直径3毫米、频率10兆赫的超声换能器缝合于心外膜表面。由于心外膜表面是速度和应变估计的参考,该操作补偿了心脏的运动。短距离允许使用高频和脉冲重复率。该系统以脉冲回波模式驱动,使用为该应用开发的电子设备,并以2500次/秒的脉冲重复率记录射频(RF)线。使用基于模糊逻辑并经过滤波以降低噪声和去除异常值的算法检测心内膜边界,并将心肌分为四层。在心肌内部,根据记录的RF信号计算作为深度函数的径向组织速度,并使用速度估计值来估计径向应变率和应变,并跟踪心肌层的运动。本文的范围是技术性的,详细描述了系统设计、硬件电子设备和算法,并给出了处理后的速度模式和心肌应变曲线的示例。这项在猪模型上的研究结果证明了该系统估计心肌速度和应变模式以及跟踪心肌层运动的能力,从而获得心肌区域功能的详细信息。