Evaluating the Speckle-SFDI for the Quantification of Optical Properties of Biotissues: Modeling and Validation on Optical Phantoms

Boris P. Yakimov
Sechenov First Moscow State Medical University, Russia
M. V. Lomonosov Moscow State University, Russia
Moscow State Budgetary Institution of Healthcare “L.A. Vorohobov City Clinical Hospital №67 MHD”, Russia

Kirill E. Buiankin
M. V. Lomonosov Moscow State University, Russia
Moscow State Budgetary Institution of Healthcare “L.A. Vorohobov City Clinical Hospital №67 MHD”, Russia

Anastasia V. Venets
M. V. Lomonosov Moscow State University, Russia

Evgeny A. Shirshin (Login required)
Sechenov First Moscow State Medical University, Russia
M. V. Lomonosov Moscow State University, Russia


Paper #3548 received 7 Oct 2022; revised manuscript received 8 Nov 2022; accepted for publication 25 Nov 2022; published online 18 Dec 2022.

DOI: 10.18287/JBPE22.08.040509

Abstract

The spatial frequency domain imaging (SFDI) method is rapidly emerging for quantitative mapping of the concentration of tissue chromophores and their scattering coefficients. This method analyzes the optical response of tissues to spatially inhomogeneous radiation with different spatial frequencies, which makes it possible to separate the contributions of absorption and scattering to the diffusely reflected light. However, the projection of spatially inhomogeneous radiation usually requires complex optical schemes, including the use of a spatial light modulator, which is difficult to implement in endoscopes. In this work, we evaluate an alternative approach, in which, instead of analyzing deterministic intensity patterns, the diffuse reflectance at different spatial frequencies can be reconstructed based on the information from random speckle patterns projected onto the surface of the studied tissue, which can be generated without the use of spatial light modulators. We evaluated the speckle-SFDI approach by simulating random speckle patterns and their interaction with turbid and absorptive media with tissue-like optical properties, as well as evaluated this approach experimentally using optical phantoms mimicking properties of real biotissues. The error of absorption and reduced scattering estimation on the number of projected speckles, speckle spatial properties, and optical properties of studied samples was assessed. The suggested approach provided an estimation error of ~10–15% for optical parameters. Given the ease of both experimental and analytical implementation of this technique, it can find applications for quantitative analysis of the optical properties of biological tissues, where “classical” SFDI is hard to implement. The major benefit is the possibility to implement the developed approach within endoscopes.

Keywords

spatial frequency domain imaging; diffuse reflectance spectroscopy; speckles; biophotonics

Full Text:

PDF

References


1. Z. I. Volynskaya, A. S. Haka, K. L. Bechtel, M. D. Fitzmaurice, R. Shenk, N. Wang, J. Nazemi, R. R. Dasari, and M. S. Feld, “Diagnosing breast cancer using diffuse reflectance spectroscopy and intrinsic fluorescence spectroscopy,” Journal of Biomedical Optics 13(2), 024012 (2008).

2. Z. Ge, K. T. Schomacker, and N. S. Nishioka, “Identification of Colonic Dysplasia and Neoplasia by Diffuse Reflectance Spectroscopy and Pattern Recognition Techniques,” Applied Spectroscopy 52(6), 833–839 (1998).

3. M. S. Nogueira, S. Maryam, M. Amissah, H. Lu, N. Lynch, S. Killeen, M. O’Riordain, and S. Andersson-Engels, “Evaluation of wavelength ranges and tissue depth probed by diffuse reflectance spectroscopy for colorectal cancer detection,” Scientific Reports 11(1), 798 (2021).

4. J. E. Bender, A. B. Shang, E. W. Moretti, B. Yu, L. M. Richards, and N. Ramanujam, “Noninvasive monitoring of tissue hemoglobin using UV-VIS diffuse reflectance spectroscopy: a pilot study,” Optics Express 17(26), 23396–23409 (2009).

5. L. Dolotov, Y. P. Sinichkin, V. Tuchin, S. Utz, G. Altshuler, and I. Yaroslavsky, “Design and evaluation of a novel portable erythema‐melanin‐meter,” Lasers in Surgery and Medicine 34(2), 127–135 (2004).

6. D. Yudovsky, L. Pilon, “Rapid and accurate estimation of blood saturation, melanin content, and epidermis thickness from spectral diffuse reflectance,” Applied Optics 49(10), 1707–1719 (2010).

7. G. S. Budylin, D. A. Davydov, N. V. Zlobina, A. V. Baev, V. G. Artyushenko, B. P. Yakimov, and E. A. Shirshin, “In vivo sensing of cutaneous edema: A comparative study of diffuse reflectance, Raman spectroscopy and multispectral imaging,” Journal of Biophotonics 15(1), e202100268 (2022).

8. M. E. Darvin, C. Sandhagen, W. Koecher, W. Sterry, J. Lademann, and M. C. Meinke, “Comparison of two methods for noninvasive determination of carotenoids in human and animal skin: Raman spectroscopy versus reflection spectroscopy,” Journal of Biophotonics 5(7), 550–558 (2012).

9. S. K. Alla, A. Huddle, J. D. Butler, P. S. Bowman, J. F. Clark, and F. R. Beyette, “Point-of-Care Device for Quantification of Bilirubin in Skin Tissue,” IEEE Transactions on Biomedical Engineering 58(3), 777–780 (2011).

10. A. Kienle, L. Lilge, M. S. Patterson, R. Hibst, R. Steiner, and B. C. Wilson, “Spatially resolved absolute diffuse reflectance measurements fornoninvasive determination of the optical scattering and absorption coefficientsof biological tissue,” Applied Optics 35(13), 2304–2314 (1996).

11. D. J. Cuccia, F. Bevilacqua, A. J. Durkin, and B. J. Tromberg, “Modulated imaging: quantitative analysis and tomography of turbid media in the spatial-frequency domain,” Optics Letters 30(11), 1354–1356 (2005).

12. D. J. Cuccia, F. P. Bevilacqua, A. J. Durkin, F. R. Ayers, and B. J. Tromberg, “Quantitation and mapping of tissue optical properties using modulated imaging,” Journal of Biomedical Optics 14(2), 024012 (2009).

13. A. Ponticorvo, D. M. Burmeister, B. Yang, B. Choi, R. J. Christy, and A. J. Durkin, “Quantitative assessment of graded burn wounds in a porcine model using spatial frequency domain imaging (SFDI) and laser speckle imaging (LSI),” Biomedical Optics Express 5(10), 3467–3481 (2014).

14. D. M. Burmeister, A. Ponticorvo, B. Yang, S. C. Becerra, B. Choi, A. J. Durkin, and R. J. Christy, “Utility of spatial frequency domain imaging (SFDI) and laser speckle imaging (LSI) to non-invasively diagnose burn depth in a porcine model,” Burns 41(6), 1242–1252 (2015).

15. A. M. Laughney, V. Krishnaswamy, T. B. Rice, D. J. Cuccia, R. J. Barth, B. J. Tromberg, K. D. Paulsen, B. W. Pogue, and W. A. Wells, “System analysis of spatial frequency domain imaging for quantitative mapping of surgically resected breast tissues,” Journal of Biomedical Optics 18(3), 036012 (2013).

16. Y. Zhao, Y. Deng, S. Yue, M. Wang, B. Song, and Y. Fan, “Direct mapping from diffuse reflectance to chromophore concentrations in multi-fx spatial frequency domain imaging (SFDI) with a deep residual network (DRN),” Biomedical Optics Express 12(1), 433–443 (2021).

17. S. Tabassum, Y. Zhao, R. Istfan, J. Wu, D. J. Waxman, and D. Roblyer, “Feasibility of spatial frequency domain imaging (SFDI) for optically characterizing a preclinical oncology model,” Biomedical Optics Express 7(10), 4154–4170 (2016).

18. Y. Zhao, S. Tabassum, S. Piracha, M. S. Nandhu, M. Viapiano, and D. Roblyer, “Angle correction for small animal tumor imaging with spatial frequency domain imaging (SFDI),” Biomedical Optics Express 7(6), 2373–2384 (2016).

19. S. Gioux, A. Mazhar, and D. J. Cuccia, “Spatial frequency domain imaging in 2019: principles, applications, and perspectives,” Journal of Biomedical Optics 24(7), 071613 (2019).

20. J. Angelo, M. Giessen, and S. Gioux, “Real-time endoscopic optical properties imaging using Single Snapshot of Optical Properties (SSOP) imaging,” Proceedings of SPIE 9313, 93130P (2015).

21. J. P. Angelo, M. Giessen, and S. Gioux, “Real-time endoscopic optical properties imaging,” Biomedical Optics Express 8(11), 5113–5126 (2017).

22. J. Kress, D. J. Rohrbach, K. A. Carter, D. Luo, C. Poon, S. Aygun-Sunar, S. Shao, S. Lele, J. F. Lovell, and U. Sunar, “A dual-channel endoscope for quantitative imaging, monitoring, and triggering of doxorubicin release from liposomes in living mice,” Scientific Reports 7(1), 15578 (2017).

23. L. Baratelli, E. Aguénounon, M. Flury, and S. Gioux, “Real-Time, Wide-Field Endoscopic Quantitative Imaging Based on 3D Profile Corrected Deep-Learning SSOP,” In European Conference on Biomedical Optics, 20–24 June 2021, Munich, Germany, EM2C.5 (2021).

24. M. T. Chen, M. Papadakis, and N. J. Durr, “Speckle illumination SFDI for projector-free optical property mapping,” Optics Letters 46(3), 673–676 (2021).

25. M. T. Chen, T. L. Bobrow, and N. J. Durr, “Towards SFDI endoscopy with structured illumination from randomized speckle patterns,” Proceedings of SPIE 11631, 116310Y (2021).

26. J. W. Goodman, “Speckle phenomena in optics: theory and applications,” Roberts and Company Publishers, Greenwood Village, CO, United States (2007). ISBN: 9780974707792.

27. A. N. Bashkatov, E. A. Genina, and V. V. Tuchin, “Optical properties of skin, subcutaneous, and muscle tissues: a review,” Journal of Innovative Optical Health Sciences 4(01), 9–38 (2011).

28. S. L. Jacques, “Optical properties of biological tissues: a review,” Physics in Medicine & Biology 58(11), R37 (2013).

29. N. Takai, T. Asakura, “Statistical properties of laser speckles produced under illumination from a multimode optical fiber,” Journal of the Optical Society of America 2(8), 1282–1290 (1985).






© 2014-2024 Samara National Research University. All Rights Reserved.
Public Media Certificate (RUS). 12+