论文标题
用于生理压力测量的可注射气泡
Injectable Bubbles for Physiological Pressure Measurement
论文作者
论文摘要
微泡(用作超声成像中的对比剂)是生物医学研究中的重要工具,已与超声一起使用,以开发出重要的诊断和治疗技术。已经提出,微泡的动态行为取决于周围流体的环境(静液压)压力,并且非侵入性确定血压的潜力具有许多医疗应用。为了研究这种依赖性,根据Marmottant的微泡动态模型创建了一个计算数学模型。将脉冲反转(PI)方案纳入模型中,以强调微气泡响应的非线性行为。数学模型还用于评估微泡对环境压力以外的其他参数变化的敏感性。它发现,微气泡的初始半径和表面张力的变化会导致信号能量的最大变化,因此对环境压力测量构成风险。为了测试检测微泡动态行为变化的实用性,使用具有两个不同超声系统的临床可用对比剂设计并进行了体外实验。在具有一定的局限性的同时,实验证实,当环境压力变化时,微气泡的动态行为发生了变化,在情况下,微气泡的动态行为发生了变化(981 PA- 981 PA-大气压变化0.98%)。实验结果确定了原理证明,未来的实验工作可以基于验证数学模型,从而有助于制定非侵入性血压测量程序。
Microbubbles - used as contrast agents in ultrasound imaging - are important tools in biomedical research, having been used together with ultrasound to develop significant diagnostic and therapeutic techniques. It has been suggested that the dynamic behaviour of microbubbles is dependent on the surrounding fluid's ambient (hydrostatic) pressure, and the potential to non-invasively determine blood pressure has numerous medical applications. To study this dependence, a computational mathematical model was created based on Marmottant's dynamic model of a microbubble. A pulse inversion (PI) protocol was incorporated into the model to emphasize the nonlinear behaviour of the microbubble's response. The mathematical model was also used to assess the sensitivity of the microbubbles to undesirable changes in parameters other than the ambient pressure. It found that a variation in the microbubble's initial radius and surface tension would cause the most significant changes in signal energy and hence pose a risk to ambient pressure measurements. To test the practicality of detecting a change in the dynamic behaviour of microbubbles, in vitro experiments were designed and carried out using clinically available contrast agent with two different ultrasound systems. The experiments, while possessing certain limitations, confirmed that there is a change in microbubbles' dynamic behaviour when the ambient pressure is varied, in cases by as little as 7.36 mmHg (981 Pa - a 0.98% change in atmospheric pressure). The experimental results establish a proof-of-principle that future experimental work can build upon to verify the mathematical model, and hence aid in developing a non-invasive blood pressure measurement procedure.