An optical parameter imaging system with profile information fusion_Journal of Biomedical Engineering

Authors：

 LI Tongxin ^1,2 , DONG Yeqing ^1,2 ,  LIU Ming ³ , ZHAO Jing ⁴ , LI Minghui ^1,2 , LI Yanzhe ^1,2

1. Tianjin Anding Hospital, Tianjin 300222, P. R. China;
2. Tianjin Mental Health Center, Tianjin 300222, P. R. China;
3. Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin 300192, P. R. China;
4. College of pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, P. R. China;

Corresponding author：

LI Tongxin, Email: litongxin@tju.edu.cn; LIU Ming, Email: liuming_tju@163.com

Keywords：

Complex profiles; The optical parameters; Laws of illumination; Spatial frequency domain imaging

DOI：

10.7507/1001-5515.202106051

Video：

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Abstract Full text Figures/Tables Video References Cited by

There is a shared problem in current optical imaging technologies of how to obtain the optical parameters of biological tissues with complex profiles. In this work, an imaging system for obtaining the optical parameters of biological tissues with complex profile was presented. Firstly, Fourier transformation profilometry was used for obtaining the profile information of biological tissues, and then the difference of incident light intensity at different positions on biological tissue surface was corrected with the laws of illumination, and lastly the optical parameters of biological tissues were achieved with the spatial frequency domain imaging technique. Experimental results indicated the proposed imaging system could obtain the profile information and the optical parameters of biological tissues accurately and quickly. For the slab phantoms with height variation less than 30 mm and angle variation less than 40º, the maximum relative errors of the profile uncorrected optical parameters were 46.27% and 72.18%, while the maximum relative errors of the profile corrected optical parameters were 6.89% and 10.26%. Imaging experiments of a face-like phantom and a human’s prefrontal lobe were performed respectively, which demonstrated the proposed imaging system possesses clinical application value for the achievement of the optical parameters of biological tissues with complex profiles. Besides, the proposed profile corrected method can be used to combine with the current optical imaging technologies to reduce the influence of the profile information of biological tissues on imaging quality.

Citation： LI Tongxin, DONG Yeqing, LIU Ming, ZHAO Jing, LI Minghui, LI Yanzhe. An optical parameter imaging system with profile information fusion. Journal of Biomedical Engineering, 2022, 39(2): 370-379, 389. doi: 10.7507/1001-5515.202106051 Copy

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1. Hielscher A H, Bluestone A Y, Abdoulaev G S, et al. Near-infrared diffuse optical tomography. Dis Markers, 2002, 18(5/6): 313-337.
2. 徐可欣, 高峰, 赵会娟. 生物医学光子学. 北京: 科学出版社, 2007: 35-257.
3. Gioux S, Mazhar A, Cuccia D J, et al. Spatial frequency domain imaging in 2019. J Biomed Opt, 2019, 24(7): 07613.
4. Angelo J P, Chen S J, Ochoa M, et al. Review of structured light in diffuse optical imaging. J Biomed Opt, 2018, 24(7): 1-20.
5. Gioux S, Mazhar A, Lee B T, et al. First-in-human pilot study of a spatial frequency domain oxygenation imaging system. J Biomed Opt, 2011, 16(8): 086015.
6. Rohrbach D J, Zeitouni N C, Muffoletto D, et al. Characterization of nonmelanoma skin cancer for light therapy using spatial frequency domain imaging. Biomed Opt Express, 2015, 6(5): 1761-1766.
7. Tabassum S, Zhao Y, Istfan R, et al. Feasibility of spatial frequency domain imaging (SFDI) for optically characterizing a preclinical oncology model. Biomed Opt Express, 2016, 7(10): 4154-4170.
8. Nguyen J Q, Crouzet C, Mai T, et al. Spatial frequency domain imaging of burn wounds in a preclinical model of graded burn severity. J Biomed Opt, 2013, 18(6): 66010.
9. Saager R B, Baldado M L, Rowland R A, et al. Method using in vivo quantitative spectroscopy to guide design and optimization of low-cost, compact clinical imaging devices: emulation and evaluation of multispectral imaging systems. J Biomed Opt, 2018, 23(4): 1-12.
10. Gioux S, Mazhar A, Cuccia D J, et al. Three-dimensional surface profile intensity correction for spatially modulated imaging. J Biomed Opt, 2009, 14(3): 034045.
11. Nguyen T T, Le H N, Vo M, et al. Three-dimensional phantoms for curvature correction in spatial frequency domain imaging. Biomed Opt Express, 2012, 3(6): 1200-1214.
12. Dan M, Liu M H, Bai W X, et al. Profile-based intensity and frequency corrections for single-snapshot spatial frequency domain topography. Opt Express, 2021, 29(9): 12833-12848.
13. Xu M, Cao Z L, Lin W H, et al. Single snapshot multiple frequency modulated imaging of subsurface optical properties of turbid media with structured light. AIP Adv, 2016, 6(12): 125208.
14. Chen X L, Lin W H, Wang C, et al. In vivo real-time imaging of cutaneous hemoglobin concentration, oxygen saturation, scattering properties, melanin content, and epidermal thickness with visible spatially modulated light. Biomed Opt Express, 2017, 8(12): 5468-5482.
15. Erickson T A, Mazhar A, Cuccia D J, et al. Lookup-table method for imaging optical properties with structured illumination beyond the diffusion theory regime. J Biomed Opt, 2010, 15(3): 036013.
16. 刘琰, 付瑛, 颛琰, 等. 基于傅里叶变换轮廓测量法的高动态范围实时3D测量. 光学与激光技术, 2021, 138: 106833.
17. Duan Minghui, Yi Jin, Xu Chunmei, et al. Phase-shifting profilometry for the robust 3-D shape measurement of moving objects. Opt Express, 2019, 27(16): 22100-22115.
18. Zuo C, Huang L, Zhang M L, et al. Temporal phase unwrapping algorithms for fringe projection profilometry: a comparative review. Opt Laser Eng, 2016, 85: 84–103.
19. 王江. 基于多面体与平行入射光的光辐射源空间定向方法分析. 中国科学:技术科学, 2013(2): 161-168.
20. 石先伟, 白立新. γ放射源强度平方反比定律验证实验设计. 大学物理, 2013(9): 39-42.
21. Cuccia D J, Bevilacqua F, Durkin A J, et al. Quantitation and mapping of tissue optical properties using modulated imaging. J Biomed Opt, 2009, 14(2): 024012.
22. Haskell R C, Svaasand L O, Tsay T T, et al. Boundary conditions for the diffusion equation in radiative transfer. J Opt Soc Am A Opt Image Sci Vis, 1994, 11(10): 2727-2741.
23. Bashkatov A N, Genina E A, Kochubey V I, et al. Optical properties of human skin, subcutaneous and mucous tissues in the wavelength range from 400 to 2 000 nm. J Phys D Appl Phys, 2005, 38(15): 2543.
24. Yaroslavsky A N, Schulze P C, Yaroslavsky I V, et al. Optical properties of selected native and coagulated human brain tissues in vitro in the visible and near infrared spectral range. Phys Med Biol, 2002, 47(12): 2059-2073.
25. Bashkatov A N, Genina E A, Kozintseva M D, et al. Optical properties of peritoneal biological tissues in the spectral range of 350–2500 nm. Opt Spectrosc, 2016, 120(1): 1-8.
26. Qin Dongli, Zhao Huijuan, Tanikawa Y, et al. Experimental determination of optical properties in turbid media by TCSPC technique. Proc. SPIE: Optical Tomography and Spectroscopy of Tissue VII, 2007, 6434: 64342E.
27. Li T X, Qin Z P, Hou X, et al. Multi-wavelength spatial frequency domain diffuse optical tomography using single-pixel imaging based on lock-in photon counting. Opt Express, 2019, 27(16): 23138-23156.

Journal of Biomedical Engineering

An optical parameter imaging system with profile information fusion

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