Special Issue Review ArticleOpen Access

Depolarizing metrics in the biomedical field: Vision enhancement and classification of biological tissues

Mónica Canabal-Carbia

Grup d’Òptica, Departamento de Fìsica, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain

E-mail Address: [email protected]

Corresponding author.

Search for more papers by this author

Albert Van Eeckhout

ALBA Synchrotron Light Source, Carrer de la Llum 2-26, 08290, Cerdanyola del Vallès, Barcelona, Spain

Search for more papers by this author

Carla Rodríguez

Grup d’Òptica, Departamento de Fìsica, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain

Search for more papers by this author

Emilio González-Arnay

Servicio deAnatomía Humana, Departamento de Ciencias Médicas Básicas, Universidad de La Laguna, Santa Cruz de Tenerife 38200, Spain

Search for more papers by this author

Irene Estévez

Grup d’Òptica, Departamento de Fìsica, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain

Search for more papers by this author

José J. Gil

Universidad de Zaragoza, Pedro Cerbuna 12, Zaragoza 50009, Spain

Search for more papers by this author

Enrique García-Caurel

LPICM, CNRS, Ecole Polytechnique Institut Politechnique de Paris, Palaiseau 91120, France

Search for more papers by this author

Razvigor Ossikovski

LPICM, CNRS, Ecole Polytechnique Institut Politechnique de Paris, Palaiseau 91120, France

Search for more papers by this author

Juan Campos

Grup d’Òptica, Departamento de Fìsica, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain

Search for more papers by this author

, and

Angel Lizana

Grup d’Òptica, Departamento de Fìsica, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain

Search for more papers by this author

https://doi.org/10.1142/S1793545823300045Cited by:3 (Source: Crossref)

View article

Abstract

Polarimetry encompasses a collection of optical techniques broadly used in a variety of fields. Nowadays, such techniques have provided their suitability in the biomedical field through the study of the polarimetric response of biological samples (retardance, dichroism and depolarization) by measuring certain polarimetric observables. One of these features, depolarization, is mainly produced by scattering on samples, which is a predominant effect in turbid media as biological tissues. In turn, retardance and dichroic effects are produced by tissue anisotropies and can lead to depolarization too. Since depolarization is a predominant effect in tissue samples, we focus on studying different depolarization metrics for biomedical applications. We report the suitability of a set of depolarizing observables, the indices of polarimetric purity (IPPs), for biological tissue inspection. We review some results where we demonstrate that IPPs lead to better performance than the depolarization index, which is a well-established and commonly used depolarization observable in the literature. We also provide how IPPs are able to significantly enhance contrast between different tissue structures and even to reveal structures hidden by using standard intensity images. Finally, we also explore the classificatory potential of IPPs and other depolarizing observables for the discrimination of different tissues obtained from ex vivo chicken samples (muscle, tendon, myotendinous junction and bone), reaching accurate models for tissue classification.

Keywords:

References

1. T. Fan, G. Xu, J. Teng, Y. Li, X. Zhang, C. Wang, P. Xu, Y. Yan, X. Xu , “Polarimetry-inspired feature fusion spectroscopy (PIFFS) for ammonia sensing in water,” Opt. Express 30, 18415–18433 (2022). Crossref, Web of Science, Google Scholar
2. M. Asgarimehr, M. Hoseini, M. Semmling, M. Ramatschi, A. Camps, H. Nahavandchi, R. Haas, J. Wickert , “Remote sensing of precipitation using reflected gnss signals: Response analysis of polarimetric observations,” IEEE Trans. Geosci. Remote Sens. 60, 1–12 (2022). Crossref, Web of Science, Google Scholar
3. M. Honda, R. Tazaki, K. Murakawa, H. Terada, T. Kudo, T. Hattori, J. Hashimoto, M. Tamura, M. Watanabe , “Subaru/IRCSL-band spectro-polarimetry of the hd142527 disk scattered light,” Publ. Astron. Soc. Jpn. 74, 851–856 (2022). Crossref, Web of Science, Google Scholar
4. A. van Eeckhout, E. Garcia-Caurel, T. Garnatje, J. C. Escalera, M. Durfort, J. Vidal, J. J. Gil, J. Campos, A. Lizana , “Polarimetric imaging microscopy for advanced inspection of vegetal tissues,” Sci. Rep. 11(1), 3913 (2021). Crossref, Web of Science, Google Scholar
5. C. H. Lucas Patty, D. A. Luo, F. Snik, F. Ariese, W. J. Buma, I. L. ten Kate, R. J. M. van Spanning, W. B. Sparks, T. A. Germer, G. Garab, M. W. Kudenov , “Imaging linear and circular polarization features in leaves with complete Mueller matrix polarimetry,” Bioc. et Bio. Acta (BBA) — General Subjects 1862(6), 13501363 (2018). Web of Science, Google Scholar
6. N. Ghosh, I. A. Vitkin , “Tissue polarimetry: Concepts, challenges, applications, and outlook,” J. Biomed. Opt. 16(11), 110801 (2011). Crossref, Web of Science, Google Scholar
7. L. V. Wang, G. L. Coté, S. L. Jacques , “Special section guest editorial: Tissue polarimetry,” J. Biomed. Opt. 7, 278 (2002). Crossref, Web of Science, Google Scholar
8. A. G. Clark, D. M. Vignjevic , “Modes of cancer cell invasion and the role of the microenvironment,” Curr. Opt. Cell Biol. 36, 13–22 (2015). Crossref, Web of Science, Google Scholar
9. M. Kupinski, M. Boffety, F. Goudail, R. Ossikovski, A. Pierangelo, J. Rehbinder, J. Vizet, T. Novikova , “Polarimetric measurement utility for pre-cancer detection from uterine cervix specimens,” Biomed. Opt. Express 9, 5691–5702 (2018). Crossref, Web of Science, Google Scholar
10. J. Chue-Sang, N. Holness, M. Gonzalez, J. Greaves, I. Saytashev, S. Stoff, A. Gandjbakhche, V. Chernomordik, G. Burkett, J. Ramella-Roman , “Use of Mueller matrix colposcopy in the characterization of cervical collagen anisotropy,” J. Biomed. Opt. 23(12), 1–9 (2018). Crossref, Web of Science, Google Scholar
11. J. Sprenger, C. Murray, J. Lad, B. Jones, G. Thomas, S. Nofech-Mozes, M. Khorasani, A. Vitkin , “Toward a quantitative method for estimating tumour-stroma ratio in breast cancer using polarized light microscopy,” Biomed. Opt. Express 12, 3241–3252 (2021). Crossref, Web of Science, Google Scholar
12. V. A. Ushenko, B. T. Hogan, A. Dubolazov, G. Piavchenko, S. L. Kuznetsov, A. G. Ushenko, Y. O. Ushenko, M. Gorsky, A. Bykov, I. Meglinski , “3D Mueller matrix mapping of layered distributions of depolarization degree for analysis of prostate adenoma and carcinoma diffuse tissues,” Sci. Rep. 11(1), 5162 (2021). Crossref, Web of Science, Google Scholar
13. V. A. Ushenko, B. T. Hogan, A. Dubolazov, A. V. Grechina, T. V. Boronikhina, M. Gorsky, A. G. Ushenko, Y. O. Ushenko, A. Bykov, I. Meglinski , “Embossed topographic depolarization maps of biological tissues with different morphological structures,” Sci. Rep. 11(1), 3871 (2021). Crossref, Web of Science, Google Scholar
14. E. Du, H. He, N. Zeng, M. Sun, Y. Guo, J. Wu, S. Liu, H. Ma , “Mueller matrix polarimetry for differentiating characteristic features of cancerous tissues,” J. Biomed. Opt. 19(7), 076013 (2014). Crossref, Web of Science, Google Scholar
15. J. S. Baba, J. Chung, A. H. DeLaughter, B. D. Cameron, G. L. Cote , “Development and calibration of an automated Mueller matrix polarization imaging system,” J. Biomed. Opt. 7(3), 341–349 (2002). Crossref, Web of Science, Google Scholar
16. P. Schucht, H. R. Lee, H. M. Mezouar, E. Hewer, A. Raabe, M. Murek, I. Zubak, J. Goldberg, E. Kövari, A. Pierangelo, T. Novikova , “Visualization of white matter fiber tracts of brain tissue sections with wide-field imaging Mueller polarimetry,” IEEE Trans. Med. Imaging 39(12), 4376–4382 (2020). Crossref, Web of Science, Google Scholar
17. O. Rodríguez-Núñez, P. Schucht, E. Hewer, T. Novikova, A. Pierangelo , “Polarimetric visualization of healthy brain fiber tracts under adverse conditions: ex vivo studies,” Biomed. Opt. Express 12, 6674–6685 (2021). Crossref, Web of Science, Google Scholar
18. Z. Ali, T. Mahmood, A. Shahzad, M. Iqbal, I. Ahmad , “Assessment of tissue pathology using optical polarimetry,” Lasers Med. Sci. 37, 1907–1919 (2022). Crossref, Web of Science, Google Scholar
19. C. He, H. He, J. Chang, B. Cheng, H. Ma, M. J. Booth , “Polarisation optics for biomedical and clinical applications: A review,” Light Sci. Appl. 10, 194 (2021). Crossref, Web of Science, Google Scholar
20. J. Qi, D. S. Elson , “Mueller polarimetric imaging for surgical and diagnostic applications: A review,” J. Biophoton. 10(8), 950–982 (2017). Crossref, Web of Science, Google Scholar
21. H. He, R. Liao, N. Zeng, P. Li, Z. Chen, X. Liu, H. Ma , “Mueller matrix polarimetry — an emerging new tool for characterizing the microstructural feature of complex biological specimen,” J. Light. Technol. 37(11), 2534–2548 (2019). Crossref, Web of Science, Google Scholar
22. J. C. Ramella-Roman, I. Saytashev, M. Piccini , “A review of polarization-based imaging technologies for clinical and preclinical applications,” J. Opt. 22, 123001 (2020). Crossref, Google Scholar
23. C. Heinrich, J. Rehbinder, A. Nazac, B. Teig, A. Pierangelo, J. Zallat , “Mueller polarimetric imaging of biological tissues: classification in a decision-theoretic framework,” J. Opt. Soc. Am. A 35, 2046–2057 (2018). Crossref, Google Scholar
24. C. Rodriguez, A. van Eeckhout, L. Ferrer, E. Garcia-Caurel, E. González-Arnay, J. Campos, A. Lizana , “Polarimetric data-based model for tissue recognition,” Biomed. Opt. Express 12(8), 4852–4872 (2021). Crossref, Web of Science, Google Scholar
25. D. Ivanov, V. Dremin, E. Borisova, A. Bykov, T. Novikova, I. Meglinski, R. Ossikovski , “Polarization and depolarization metrics as optical markers in support to histopathology of ex vivo colon tissue,” Biomed. Opt. Express 12, 4560–4572 (2021). Crossref, Web of Science, Google Scholar
26. R. Meng, H. He, T. Liu, T. Sun, H. Ma , “Quantitative detection and comparison of liver tissues using label-free Mueller matrix microscope,” Proc. SPIE 10877, Dynamics and Fluctuations in Biomedical Photonics XVI 10877, 101–108 (2019). Crossref, Google Scholar
27. A. van Eeckhout, E. Garcia-Caurel, R. Ossikovski, A. Lizana, C. Rodríguez, E. González-Arnay, J. Campos , “Depolarization metric spaces for biological tissues classification,” J. Biophoton. 13, e202000083 (2020). Crossref, Web of Science, Google Scholar
28. S. L. Jacques, J. C. Ramella-Roman, K. Lee , “Imaging skin pathology with polarized light,” J. Biomed. Opt. 7(3), 329–340 (2002). Crossref, Web of Science, Google Scholar
29. S. Manhas, M. K. Swami, H. S. Patel, A. Uppal, N. Ghosh, P. K. Gupta , “Polarized diffuse reflectance measurements on cancerous and noncancerous tissues,” J. Biophoton. 2, 581–587 (2009). Crossref, Web of Science, Google Scholar
30. J. Chung, W. Jung, M. J. Hammer-Wilson, P. Wilder-Smith, Z. Chen , “Use of polar decomposition for the diagnosis of oral precancer,” Appl. Opt. 46, 3038–3045 (2007). Crossref, Web of Science, Google Scholar
31. A. Pierangelo, A. Benali, M.-R. Antonelli, T. Novikova, P. Validire, B. Gayet, A. De Martino , “Ex vivo characterization of human colon cancer by Mueller polarimetric imaging,” Opt. Express 19, 1582–1593 (2011). Crossref, Web of Science, Google Scholar
32. J. J. Gil, R. Ossikovski , Polarized Light and the Mueller Matrix Approach, CRC Press, Boca Raton (2016). Google Scholar
33. R. Ossikovski, J. Vizet , “Eigenvalue-based depolarization metric spaces for Mueller matrices,” J. Opt. Soc. Am. A 36, 1173–1186 (2019). Crossref, Google Scholar
34. A. van Eeckhout, A. Lizana, E. Garcia-Caurel, J. J. Gil, R. Ossikovski, J. Campos , “Synthesis and characterization of depolarizing samples based on the indices of polarimetric purity,” Opt. Lett. 42(20), 4155–4158 (2017). Crossref, Web of Science, Google Scholar
35. A. van Eeckhout, A. Lizana, E. Garcia-Caurel, J. J. Gil, A. Sansa, C. Rodríguez, I. Estévez, E. González, J. C. Escalera, I. Moreno, J. Campos , “Polarimetric imaging of biological tissues based on the indices of polarimetric purity,” J. Biophoton. 11, e201700189 (2017). Crossref, Web of Science, Google Scholar
36. C. Rodriguez, A. van Eeckhout, L. Ferrer, E. Garcia-Caurel, A. Lizana, J. Campos , “Authomatic pseudo-coloring approaches to improve visual perception and contrast in polarimetric images of biological tissues,” Sci. Rep. 12(1), 18479 (2022). Crossref, Web of Science, Google Scholar
37. S. R. Cloude , “Conditions for the physical realizability of matrix operators in polarimetry,” Proc. SPIE 1166, 177–185 (1989). Crossref, Google Scholar
38. S. R. Cloude , “Group theory and polarization algebra,” Optik 75, 26–36 (1986). Web of Science, Google Scholar
39. I. San José, J. J. Gil , “Invariant indices of polarimetric purity. Generalized indices of purity for $n \times n$ covariance matrices,” Opt. Commun. 284, 38–47 (2011). Crossref, Web of Science, Google Scholar
40. J. J. Gil, E. Bernabeu , “Depolarization and polarization indices of an optical system,” Opt. Acta 33(2), 185–189 (1986). Crossref, Google Scholar
41. J. J. Gil , “Review on Mueller matrix algebra for the analysis of polarimetric measurements,” J. Appl. Remote Sens. 8(1), 081599 (2014). Crossref, Web of Science, Google Scholar
42. R. Ossikovski , “Canonical forms of depolarizing Mueller matrices,” J. Opt. Soc. Am. A 27, 123–130 (2010). Crossref, Google Scholar
43. R. Ossikovski , “Analysis of depolarizing Mueller matrices through a symmetric decomposition,” J. Opt. Soc. Am. A 26, 1109–1118 (2009). Crossref, Google Scholar
44. S. Uchida , “Image processing and recognition for biological images,” Biomed. Develop. Growth Differ. 55, 523–549 (2013). Crossref, Web of Science, Google Scholar
45. B. Charvet, F. Ruggiero, D. Le Guellec , “The development of the myotendinous junction: A review,” Musc. Liga. Tend. J. 2(2), 53–63 (2012). Google Scholar
46. R. James, G. Kesturu, G. Balian, A. B. Chhabra , “Tendon: biology, biomechanics, repair, growth factors, and evolving treatment options,” J. Hand Surg. Am. 33(1), 102–112 (2008). Crossref, Web of Science, Google Scholar
47. S. Schiaffino, C. Reggiani , “Fiber types in mammalian skeletal muscles,” Physiol. Rev. 91(4), 1447–1531 (2011). Crossref, Web of Science, Google Scholar
48. L. Breiman, J. H. Friedman, R. A. Olshen, C. J. Stone , Classification and Regression Trees, Chapman & Hall, Boca Raton (1984). Google Scholar
49. Y. Guo, T. Hastie, R. Tibshirani , “Regularized linear discriminant analysis and its application in microarrays,” Biostatistics 8(1), 86 (2007). Crossref, Web of Science, Google Scholar
50. T. Mitchell , Machine Learning, McGraw-Hill, NewYork (1997). Google Scholar
51. F. H. Mustafa, M. S. Jaafar , “Comparison of wavelength-dependent penetration depths of lasers in different types of skin in photodynamic therapy,” Indian J. Phys. 87(3), 203–209 (2013). Crossref, Web of Science, Google Scholar
52. A. van Eeckhout, E. Garcia-Caurel, R. Ossikovski, A. Lizana, C. Rodríguez, E. González-Arnay, J. Campos , “Depolarizing spaces for biological tissue classification based on a wavelength combination,” Proc. SPIE 11363, Tissue Optics and Photonics (2020), p. 113631G. Crossref, Google Scholar
53. H. H. Jolliff , “Principal component factor analysis,” All Grad. Plan B Rep. 1117 (1968). Google Scholar
54. V. Srinivasarao, U. Ghanekar , “Speech enhancement — an enhanced principal component analysis (EPCA) filter approach,” Comput. Electr. Eng. 85, 106657 (2020). Crossref, Web of Science, Google Scholar
55. T. Fawcett , “An introduction to ROC analysis,” Pattern Recognit. Lett. 27(8), 861–874 (2006). Crossref, Web of Science, Google Scholar
56. J. A. Cook , “ROC curves and nonrandom data,” Pattern Recognit. Lett. 85, 35–41 (2017). Crossref, Web of Science, Google Scholar
57. D. Ivanov, V. Dremin, T. Genova, A. Bykov, T. Novikova, R. Ossikovsky, I. Meglinski , “Polarization-based histopathology classification of ex vivo colon samples supported by machine learning,” Front. Phys. 9, 814787 (2022). Crossref, Web of Science, Google Scholar

Vol. 16, No. 05

Metrics

History

Received 31 October 2022

Revised 13 December 2022

Accepted 15 January 2023

Published: 23 February 2023

Information

This is an Open Access article. It is distributed under the terms of the Creative Commons Attribution 4.0 (CC-BY) License. Further distribution of this work is permitted, provided the original work is properly cited.

Keywords

PDF download

Adblock Plus Instructions

Adblock Instructions

uBlock Origin Instructions

uBlock Instructions

Adguard Instructions

Brave Instructions

Adremover Instructions

Adblock Genesis Instructions

Super Adblocker Instructions

Ultrablock Instructions

Ad Aware Instructions

Ghostery Instructions

Firefox Tracking Protection Instructions

Duck Duck Go Instructions

Privacy Badger Instructions

Disconnect Instructions

Opera Instructions

System Upgrade on Tue, Oct 25th, 2022 at 2am (EDT)

Depolarizing metrics in the biomedical field: Vision enhancement and classification of biological tissues

Abstract

References

Select your blocker:

Adblock Plus Instructions

Adblock Instructions

uBlock Origin Instructions

uBlock Instructions

Adguard Instructions

Brave Instructions

Adremover Instructions

Adblock Genesis Instructions

Super Adblocker Instructions

Ultrablock Instructions

Ad Aware Instructions

Ghostery Instructions

Firefox Tracking Protection Instructions

Duck Duck Go Instructions

Privacy Badger Instructions

Disconnect Instructions

Opera Instructions

System Upgrade on Tue, Oct 25th, 2022 at 2am (EDT)

Depolarizing metrics in the biomedical field: Vision enhancement and classification of biological tissues

Abstract

References

Recommended