Laser doppler vibrometer validation of an optical flow motion tracking algorithm
Laser doppler vibrometer validation of an optical flow motion tracking algorithm
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DOI：
10.1016/j.bspc.2018.12.017
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发表时间：
2019-03
期刊：
影响因子：
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通讯作者：
H. Ismail;C. Pretty;M. Signal;Alexander C. Amies;Marcus Haggers;J. Chase
中科院分区：
文献类型：
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作者：
H. Ismail;C. Pretty;M. Signal;Alexander C. Amies;Marcus Haggers;J. Chase
背景单点激光多普勒测振仪的使用已广泛应用于评估位移或在许多应用中使用其他技术进行验证，例如科学研究、国防、制造和生物医学。在本研究中，在激光多普勒振动测量中使用乳房形状的人造模型来验证基于机械振动的乳腺癌筛查系统中使用的光流运动测量算法。方法使用三种不同的硅胶模型：健康的；健康的； 10毫米夹杂物和20毫米夹杂物。总体目标是使用单点激光多普勒振动计数据来验证来自频率为 16Hz、24Hz、32Hz 和 40Hz 的光流跟踪的基于数字图像的弹性断层扫描 (DIET) 运动数据。结果摘要结果显示出出色的验证，健康体模的误差小于 6%，10 mm 夹杂物和 20 mm 的误差小于 8%纳入.结论总体结果 DIET 和激光多普勒振动计在每个频率下使用的光流运动算法表明，光流算法能够以良好的精度捕获乳房形状的硅胶模型的表面运动。因此，光流算法适合且足够稳健，可用于临床乳腺筛查。最后，所呈现的误差明确量化了该算法相对于基于激光的黄金标准的误差。
BackgroundThe use of single point laser Doppler vibrometer is well established for evaluating displacement or validation in many applications such as scientific research, defence, manufacturing, and biomedicine with other techniques. In this research, breast shaped fabricated phantoms are used in laser Doppler vibrometery to validate the optical flow motion measuring algorithm used in a mechanical vibration based breast cancer screening system.MethodsThree different silicone phantoms were used: healthy; 10 mm inclusion and 20 mm inclusion. The overall goal was to use single point laser Doppler vibrometer data to validate digital image-based elasto-tomography (DIET) motion data from optical flow tracking at frequencies of 16 Hz, 24 Hz, 32 Hz, and 40 Hz.Summary of findingsResults show excellent validation with errors less than 6% for healthy phantom, and errors less than 8% for 10 mm inclusion and 20 mm inclusion.ConclusionsThe overall results from the optical flow motion algorithm used with DIET and a laser Doppler vibrometer at every frequency show the optical flow algorithm captures surface motion of breast shaped silicone phantoms with good accuracy. The optical flow algorithm is thus suitable and robust enough for use in clinical breast screening. Finally, the errors presented quantify explicitly the error of this algorithm verses this laser-based gold standard.