An optimization method of image processing for OCT non-invasive blood glucose detection

LIU Yifei; SU Ya; YAO Xiaotian; CUI Shengwei; YANG Lijun; ZHOU Congcong; HE Song

doi:10.7510/jgjs.issn.1001-3806.2023.02.004

LASER TECHNOLOGY > 2023 > 47(2): 178-184. > DOI: 10.7510/jgjs.issn.1001-3806.2023.02.004

LIU Yifei, SU Ya, YAO Xiaotian, CUI Shengwei, YANG Lijun, ZHOU Congcong, HE Song. An optimization method of image processing for OCT non-invasive blood glucose detection[J]. LASER TECHNOLOGY, 2023, 47(2): 178-184. DOI: 10.7510/jgjs.issn.1001-3806.2023.02.004

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An optimization method of image processing for OCT non-invasive blood glucose detection

LIU Yifei^1,2,
SU Ya^1,2, ,,
YAO Xiaotian^1,2,
CUI Shengwei^1,2,
YANG Lijun^1,2,
ZHOU Congcong^1,2,
HE Song^1,2

1.
College of Physical Science and Technology, Hebei University, Baoding 071002, China
2.
Hebei Provincial Center for Optical Sensing Innovations, Hebei University, Baoding 071002, China

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Received Date: March 16, 2022
Revised Date: May 16, 2022
Published Date: March 24, 2023

Graphical Abstract

Abstract

Abstract

In order to solve the problem of the influence of different optical coherence tomography (OCT) image preprocessing methods on scattering coefficient calculation in dermis, and to improve the accuracy of noninvasive blood glucose detection, an optimization method of early OCT image data processing was proposed. The 3-D images were first processed by skin surface alignment, 3-D reconstruction and 1-D average, and then the background noise and data normalization effect on the accuracy of blood glucose prediction were analyzed by clinical experiments. The results show that the prediction error decreases by 18.31% compared with that before pretreatment. This study has important reference value for improving the accuracy of optical noninvasive blood glucose detection using OCT.
- image processing,
- noninvasive blood glucose detection,
- optical coherence tomography,
- normalize,
- background noise

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References (27)

References

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