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Can echocardiographic particle image velocimetry correctly detect motion patterns as they occur in blood inside heart chambers? A validation study using moving phantoms

机译:超声心动图颗粒图像测速仪能否正确检测出心腔内血液中出现的运动模式?使用移动体模的验证研究

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Aims To validate Echo Particle Image Velocimetry (PIV) Methods High fidelity string and rotating phantoms moving with different speed patterns were imaged with different high-end ultrasound systems at varying insonation angles and frame rates. Images were analyzed for velocity and direction and for complex motion patterns of blood flow with dedicated software. Post-processing was done with MATLAB-based tools (Dflow, JUV, University Leuven). Results Velocity estimation was accurate up to a velocity of 42?cm/s (r?=?0.99, p? Conclusion Echo-PIV appears feasible. Velocity estimates are accurate, but the maximal detectable velocity depends strongly on acquisition parameters. Direction estimation works sufficiently, even at higher velocities. Echo-PIV appears to be a promising technical approach to investigate flow patterns by echocardiography.
机译:目的验证回波粒子图像测速(PIV)方法的高保真度字符串和以不同速度模式移动的旋转幻像是通过不同的高端超声系统在不同的声入射角和帧频下成像的。使用专用软件分析了图像的速度和方向以及复杂的血流运动模式。后处理是使用基于MATLAB的工具(Dflow,JUV,鲁汶大学)完成的。结果速度估计在速度达42?cm / s时是准确的(r?=?0.99,p?)结论Echo-PIV似乎可行,速度估计是准确的,但最大可检测速度强烈取决于采集参数。 Echo-PIV似乎是通过超声心动图检查血流模式的一种有前途的技术方法。

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