Skip to main content
Log in

Spectral-based estimation of components concentration in skin tissue layers with independence of shading via optical modeling of skin tissue

  • Original Article
  • Published:
Artificial Life and Robotics Aims and scope Submit manuscript

Abstract

Analysis of concentration of components in skin tissue, such as melanin, blood, oxygen saturation, is important in medical or cosmetic fields. Some researchers have developed methods to estimate the components. However, almost all the research has not considered a depth dependency of blood concentration and oxygen saturation, which is actual characteristic of skin tissue. Although there has been a method considering the depth dependency, the method does not have capability to estimate oxygen saturation. In addition, there is a problem in the methods that it is possible that the estimation is disturbed by shading which is on skin surface. Therefore, in this paper, we propose a method solving those problems of the methods, that is to estimate melanin concentration, blood concentration, and oxygen saturation in skin tissue layers with independence of shading considering the depth dependency. The proposed method is evaluated on the estimation accuracy with simulation comparing previous methods. The result indicates preferred capability of the proposed method.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Dwyer PJ, Anderson RR, DiMarzio CA (1997) Mapping blood oxygen saturation using a multispectral imaging system. Biomed Sens Imaging Track Technol II Int Soc Opt Photon 2976:270–280

    Google Scholar 

  2. Tsumura N, Ojima N, Sato K, Shiraishi M, Shimizu H, Nabeshima H, Akazaki S, Hori K, Miyake Y (2003) Image-based skin color and texture analysis/synthesis by extracting hemoglobin and melanin information in the skin. ACM Transac Graph 22(3):770–779

    Article  Google Scholar 

  3. Kikuchi K, Masuda Y, Hirao T (2013) Imaging of hemoglobin oxygen saturation ratio in the face by spectral camera and its application to evaluate dark circles. Skin Res Technol 19:499–507

    Google Scholar 

  4. Shimada M, Masuda Y, Yamada MY, Itoh M, Takahashi M, Yatagai T (2000) Explanation of human skin color by multiple linear regression analysis based on the modified Lambert–Beer law. Opt Rev 7(4):348–352

    Article  Google Scholar 

  5. Nishidate I, Maeda T, Niizeki K, Aizu Y (2013) Estimation of melanin and hemoglobin using spectral reflectance images reconstructed from a digital RGB image by the Wiener estimation method. Sensors 13:7902–7951

    Article  Google Scholar 

  6. Kobayashi M, Ito Y, Sakauchi N, Oda I, Konishi I, Tsunazawa Y (2001) Analysis of nonlinear relation for skin hemoglobin imaging. Opt Soc Am 9(13):802–812

    Google Scholar 

  7. Akaho R, Hirose M, Tsumura N (2018) Evaluation of the robustness of estimating five components from a skin spectral image. Opt Rev 25(2):181–189

    Article  Google Scholar 

  8. Iuchi K, Akaho R, Igarashi T, Ojima N, Tsumura N (2019) Estimation of blood concentrations in skin layers with different depths. In: 27th color and imaging conference, society for imaging science and technology, vol 1, pp 290–294

  9. Wang L, Jacques S, Zheng L (1995) MCML—Monte Carlo modeling of light transport in multi-layered tissues. Comput Methods Progr Biomed 70(2):179–186

    Google Scholar 

  10. Meglinski IV, Matcher SJ (2003) Computer simulation of the skin reflectance spectra. Comput Methods Progr Biomed 70(2):179–186

    Article  Google Scholar 

  11. Meglinski IV, Matcher SJ (2002) Quantitative assessment of skin layers absorption and skin reflectance spectra simulation in the visible and near-infrared spectral regions. Physiol Meas 23:741–753

    Article  Google Scholar 

  12. Gemert MJCV, Jacques SL, Sterenborg HJCM, Star WM (1989) Skin optics. IEEE Trans Biomed Eng 36(12):1146–1154

    Article  Google Scholar 

  13. Svaasand LO, Norvang LT, Fiskerstrand EJ, Stopps EKS, Berns MW, Nelson JS (1995) Tissue parameters determining the visual appearance of normal skin and port-wine stains. Lasers Med Sci 10:55–65

    Article  Google Scholar 

  14. Donner C, Jensen HW (2006) A spectral BSSRDF for shading human skin. In: Eurographics symposium on rendering, pp 409–417

  15. Tsumura N, Kawabuchi M, Haneishi H, Miyake Y (2001) Mapping pigmentation in human skin from a multi-channel visible spectrum image by inverse optical scattering technique. J Imaging Sci Technol 45(5):444–450

    Google Scholar 

  16. Flynn CO, McCormack BAO (2009) A three-layer model of skin and its application in simulation wrinkling. Comput Methods Biomech Biomed Eng 12(2):125–134

    Article  Google Scholar 

  17. Zhang R, Verkruysse W, Choi B, Viator JA, Jung B, Svaasand LO, Aquilar G, Nelson JS (2005) Determination of human skin optical properties from spectrophotometric measurements based on optimization by genetic algorithms. J Biomed Opt 10(2):024030

    Article  Google Scholar 

  18. Ojima N, Minami T, Kawai M (1997), Transmittance measurement of cosmetic layer applied on skin by using processing. In: Proceeding of the 3rd scientific conference of the Asia Societies of Cosmetic Scientists, vol 114

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kaito Iuchi.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Iuchi, K., Igarashi, T., Ojima, N. et al. Spectral-based estimation of components concentration in skin tissue layers with independence of shading via optical modeling of skin tissue. Artif Life Robotics 27, 9–18 (2022). https://doi.org/10.1007/s10015-021-00727-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10015-021-00727-6

Keywords

Navigation