Application of High Resolution PIV Processing in Flow Through Mechanical Heart Valve

A. Subramanian, Lauren K. Yee, J. Kadambi, M. Wernet, H. Harasaki
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Abstract

Particle image velocimetry (PIV) processing techniques, Multi Pass Correlation (MPC) and Particle Tracking Velocimetry (PTV), are applied to images obtained from a bileaflet mechanical heart valve study to obtain velocity measurements with increased spatial resolution and accuracy. Using subregions of 32 pixels by 64 pixels, a spatial resolution of 0.23 mm in x and 0.46 mm in y is obtained, as compared to 0.46 mm in both directions for traditional PIV processing. When MPC and PTV are not utilized, spatial resolution can only be increased by decreasing the subregion size and time between images in an image pair, which sacrifices accuracy. High accuracy can only be obtained by increasing the subregion size and the time between pulses, which reduces spatial resolution. MPC and PTV allow both high spatial resolution and accuracy by altering the processing method as opposed to how the data is produced conventionally.
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高分辨率PIV处理在机械心脏瓣膜血流中的应用
将粒子图像测速(PIV)处理技术,多通道相关(MPC)和粒子跟踪测速(PTV)应用于双叶机械心脏瓣膜研究获得的图像,以提高空间分辨率和精度获得速度测量。使用32 × 64像素的子区域,在x方向上获得0.23 mm的空间分辨率,在y方向上获得0.46 mm的空间分辨率,而传统PIV处理在两个方向上都是0.46 mm。当不使用MPC和PTV时,只能通过减小子区域大小和图像之间的时间来提高空间分辨率,这牺牲了图像对的精度。只有增加子区域大小和脉冲间隔时间才能获得较高的精度,这降低了空间分辨率。MPC和PTV通过改变处理方法来实现高空间分辨率和精度,而不是传统的数据生成方式。
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