光学 精密工程, 2017, 25 (6): 1410, 网络出版: 2017-07-10   

激光散斑血流成像对中医理疗功效的检测

Measurement of physical therapy efficiency of traditional Chinese medicine by laser speckle blood flow imaging
作者单位
1 上海理工大学 光电信息与计算机工程学院,上海 200093
2 上海理工大学 医疗器械与食品学院,上海 200093
摘要
为了获得更加准确的中医理疗功效检测结果, 根据中医经络的气血和人体皮肤微循环密切相关的理论, 提出了一种基于散斑血流成像的检测方法。对检测过程中由于被测对象身体抖动等因素产生的图像信噪比下降问题进行研究和改进, 并通过软管模拟实验对成像系统的稳定性进行验证。然后, 对10名健康志愿者的内关穴或外关穴进行艾灸实验, 以血流灌注指数为检测指标, 采用散斑血流成像系统对手部不同经络的穴位及非穴位检测点进行检测。实验结果表明: 艾灸后, 在艾灸点所在经络上的穴位检测到的血流灌注指数增加比其它穴位点高20%。激光散斑血流成像系统能够对理疗过程中皮肤血流变化予以大视角的成像, 此方法在中医理疗功效检测中具有有效性。
Abstract
In order to accurately evaluate curative effect of traditional Chinese medicine therapy, a detection method based on Laser Speckle Blood Flow Imaging (LSBFI) was proposed according to relative theories of qi and blood and human skin microcirculation in traditional Chinese medical meridians. The degradation of image signal to noise ratio attribute to body shaking and other factors of detected object in the process of detection was researched and improved, and the stability of imaging system was verified through flexible pipe simulation experiments. Then, the moxibustion on neiguan point and the waiguan points of 10 healthy volunteers were performed experimentally. Regarding the blood Perfusion Index (PI) as detection index, the LSBFI system was used to detect acupoint and non-acupoint detection points of different hand meridians and collaterals. The experimental result shows that after moxibustion, PI detected on acupoint of meridians and collaterals on the moxibustion is increased by 20% than that of other acupoints. Given large visual angle of imaging on skin blood flow change in the process of physical therapy, the LSBFI system enables effective detection of physical therapy efficacy for traditional Chinese medicine.
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贾亚威, 杨晖, 李然, 刘宏业, 范彦平, 郑刚. 激光散斑血流成像对中医理疗功效的检测[J]. 光学 精密工程, 2017, 25(6): 1410. JIA Ya-wei, YANG Hui, LI Ran, LIU Hong-ye, FAN Yan-ping, ZHENG Gang. Measurement of physical therapy efficiency of traditional Chinese medicine by laser speckle blood flow imaging[J]. Optics and Precision Engineering, 2017, 25(6): 1410.

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