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EXPERIMENTAL WALL SHEAR ESTIMATION AS A MEANS OF PREDICTING THROMBUS FORMATION WITHIN A 50CC PENN STATE BLOOD PUMP

机译:实验墙剪切估计作为预测50cc Penn状态血液泵内的血栓形成的方法

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The use of ventricular assist devices (VADs) as a means of cardiac support for patients with diminished heart function has been investigated since the 1960s [1]. While VAD therapy has had success in assisting the failing heart, thrombus formation within these devices is one of various complications that still limit its long term use. Research has shown that thrombus deposition in VADs is a function of the underlying fluid mechanics within these devices. Areas of flow stasis, high blood residence time, and wall shear rates under 500 s~(-1) are important flow characteristics driving thrombosis [2]. Particle image velocimetry (PIV) has proven to be a useful flow visualization technique to identify areas in which detrimental flow patterns are likely. In addition to velocity measurements, an estimation of wall shear rate based on experimental PIV studies can help predict thrombus propensity within a Penn State 50cc device. The accuracy of the wall shear rate measurement by PIV is highly dependent on the magnification of the system. Provided particle density is sufficient at near wall locations, we can improve the accuracy of wall shear rate measurements with increased magnification [3]. The outcomes of this study will be compared with similar computational modeling and in vivo studies to better predict thrombus formation within VADs. Clot formation has already been shown to occur along the front bottom edge of the pump in vivo. Previous measurements in this region have reported wall shear rates below 250 s~(-1) suggesting that areas of low wall shear correlate to thrombus formation [4]. Higher magnification PIV allows these regions to be studied in greater detail.
机译:自20世纪60年代以来,已经研究了使用心室辅助装置(VADS)作为心功能减少患者的心脏载体手段。虽然Vad治疗在协助失败的心脏取得了成功,但这些装置内的血栓形成是仍然限制其长期使用的各种并发症之一。研究表明,VAD中的血栓沉积是这些装置内的底层流体力学的函数。 500 s〜(-1)下的流动静脉曲张,高血停留时间和壁剪速率是驱动血栓形成的重要流动特性[2]。粒子图像VELOCIMETRY(PIV)已被证明是一种有用的流量可视化技术,以识别可能有害的流动模式的区域。除了速度测量之外,基于实验PIV研究的壁剪切速率估计可以有助于预测PENN状态50CC装置内的血栓倾向。 PIV壁剪切速率测量的准确性高度依赖于系统的放大率。提供颗粒密度在靠近壁位置足够,我们可以提高壁剪切速率测量的准确性随着倍率增加[3]。本研究的结果将与类似的计算建模和体内研究进行比较,以更好地预测VAD内的血栓形成。已经显示凝块形成沿着体内泵的前底边缘发生。该区域的先前测量报告的壁剪速率低于250 s〜(-1),表明低壁剪切区域与血栓形成相关[4]。更高的倍率PIV允许更详细地研究这些区域。

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