Image Correction and Compensation Method Based on OCT Noninvasive Blood Glucose Detection

Congcong Zhou; X. Steve Yao; Ya Su; Peng Hao; Shengwei Cui; Yifei Liu; Song He

doi:10.3788/CJL202249.2407201

Chinese Journal of Lasers, Volume. 49, Issue 24, 2407201(2022)

Image Correction and Compensation Method Based on OCT Noninvasive Blood Glucose Detection

Congcong Zhou^1,2, X. Steve Yao^1,2, Ya Su^1,2、*, Peng Hao^1,2, Shengwei Cui^1,2, Yifei Liu^1,2, and Song He^1,2

Author Affiliations

¹College of Physics Science & Technology, Hebei University, Baoding 071002, Hebei, China

²Hebei Provincial Center for Optical Sensing Innovations, Baoding 071002, Hebei, China

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Figures & Tables(14)

Fig. 1. Effects of offset distance on skin image processing results. (a) Relationship between normalized light intensity and offset distance ; (b) fitted lines of normalized light intensities at different offset distances; (c) scattering coefficient versus offset distance; (d) deviation of scattering coefficient versus offset distance

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Fig. 2. Positioning label

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Fig. 3. Flow chart of correction and compensation algorithm

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Fig. 4. Differences of extracted skin image areas before and after correction and compensation. (a)(b) skin images collected at different moments; skin images in central perforated region extracted from (c) Fig. 4(a) and (d) Fig. 4(b) with selected matching templates shown in dotted boxes; (e) template image; (f) corrected image

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Fig. 5. Flow chart of correction and compensation algorithm

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Fig. 6. Skin images collected at different blood glucose moments and their images after correction and compensation which based on template image

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Fig. 7. Calibration results of images before and after correction and compensation . (a) Before correction and compensation; (b) after correction and compensation

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Fig. 8. Prediction results before and after correction and compensation. (a) Before correction and compensation; (b) after correction and compensation

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Fig. 9. Clarke error analysis between predicted value and finger blood value before and after correction and compensation. (a) Before correction and compensation; (b) after correction and compensation

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Fig. 10. Effect of human blood glucose concentration on scattering coefficient

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Table 1. Blood glucose concentrations at different moments
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Table 1. Blood glucose concentrations at different moments
Moment 16：14 16：23 16：36 16：44 16：52
Blood glucose concentration /(mmol·L ^－1) 7.0 8.0 8.5 9.1 9.4

Table 2. Statistics of numbers of relevant areas
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Table 2. Statistics of numbers of relevant areas
Correlation coefficient >0.7 >0.8 >0.9
Number of relevant areas before correction 43 24 13
Number of relevant areas after correction 73 36 14

Table 3. Comparison of correction and compensation effects

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Table 3. Comparison of correction and compensation effects

Volunteer	Correlation coefficient		Mean of difference ± standard deviation /(mmol·L^－1)		Clark error
Volunteer	Uncorrected	Corrected	Uncorrected	Corrected	Uncorrected	Corrected
Volunteer 1	0.18	0.61	1.39±1.36	0.91±0.48	66.67%	100.00%
Volunteer 2	0.27	0.71	1.82±1.12	0.68±0.61	39.34%	85.25%
Volunteer 3	0.57	0.80	1.35±1.06	0.77±0.53	55.42%	83.13%
Volunteer 4	0.44	0.49	2.43±1.84	2.08±1.69	45.83%	51.04%
Average	0.37	0.65	1.75±1.34	1.11±0.83	51.82%	79.86%

Table 4. Changes in scattering coefficients of skin tissue of different volunteers before and after blood glucose concentration change
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Table 4. Changes in scattering coefficients of skin tissue of different volunteers before and after blood glucose concentration change
Volunteer After blood glucose concentration change Before blood glucose concentration change
Volunteer 5 0.0264 0.0016
Volunteer 6 0.0098 0.00069
Volunteer 7 0.0082 0.00049

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Congcong Zhou, X. Steve Yao, Ya Su, Peng Hao, Shengwei Cui, Yifei Liu, Song He. Image Correction and Compensation Method Based on OCT Noninvasive Blood Glucose Detection[J]. Chinese Journal of Lasers, 2022, 49(24): 2407201

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