摘要
糖尿病是影响人类健康的重大疾病之一,患者需要长期监测并控制自身血糖浓度以防止并发症的发生。相比于传统的有创检测方法,光学无创血糖检测能够极大地减轻病人的采血痛苦,通过增加测量次数来精确控制血糖。基于光学相干层析成像(OCT)的无创血糖检测是近些年来极具发展潜力的技术之一,但目前存在的问题是被测试者在仪器图像采集过程中,自身不自觉的轻微抖动会造成被采集皮肤区域的三维图像在空间范围内前后不一致,从而影响无创血糖测量的准确度。针对这一问题,提出了一种基于OCT无创血糖检测的皮肤三维图像校正补偿方法。经此方法处理后的人体临床实验数据表明,无创血糖预测值的准确度提升了36.57%。该研究对光学无创血糖检测具有重要的参考价值。同时该方法也适用于其他需要进行精确定量计算的光学成像应用。
Objective Diabetes is one of the major diseases affecting human health.Patients are required to monitor and control t heir blood glucose concentration continuously to prevent complications.Compared with traditional invasive methods,optical noninvasive blood glucose detection greatly reduces the pain of blood collection for patients and controls blood glucose more accurately by increasing the number of measurements.Recently,the noninvasive blood glucose detection method using optical coherence tomography(OCT)has become a technology with great development potential.However,the acquired three-dimensional images in skin areas are inconsistent in spatial range during the image acquisition due to the slight involuntary shaking of the subject,affecting the accuracy of the noninvasive blood glucose measurement.To solve this problem,we propose a skin three-dimensional image correction and compensation method based on OCT noninvasive blood glucose detection.Methods The deviation of the 3D OCT image collected during noninvasive blood glucose detection is corrected and c ompensated using an algorithm.First,we study the influence of image deviation on experimental data using theoretical analysis.In the experiment,the skin area is roughly positioned by pasting a square positioning label on the skin surface.Due to the uneven border of the positioning and the involuntary movement of the arm when collecting images,a deviation is observed in the image of the extracted skin area,leading to errors in the calibration and prediction results.The image of the skin area is extracted using morphological erosion expansion,then the image boundary is smoothed and the skin surface is aligned.After the template is determined by selecting the central area of the collected skin image,the compensation algorithm is used to gradually match the template with the skin area images involved in the subsequent blood glucose calculation and perform correction and compensation to ensure consistency in the skin area.We compare the data before and after comp
作者
周聪聪
姚晓天
苏亚
郝鹏
崔省伟
刘逸飞
何松
Zhou Congcong;X.Steve Yao;Su Ya;Hao Peng;Cui Shengwei;Liu Yifei;He Song(College of Physics Science&Technology,Hebei University,Baoding 071002,Hebei,China;Hebei Provincial Center for Optical Sensing Innovations,Baoding 071002,Hebei,China)
出处
《中国激光》
EI
CAS
CSCD
北大核心
2022年第24期69-79,共11页
Chinese Journal of Lasers
基金
国家自然科学基金(62105091)
河北省重点研发计划(19212109D,20542201D)
河北省自然科学基金(F2020201041,F2021201016)
河北省高等学校科学技术研究基金(QN2019035)
河北大学“新医科”教学改革项目(2020XYKY08)。
关键词
医用光学
光学相干层析成像
补偿算法
无创血糖检测
模板匹配
medical optics
optical coherence tomography
compensation algorithm
non-invasive blood glucose measurement
template matching
