Keywords
Jones matrix, tomography, phase anisotropy, diagnostics
1. INTRODUCTION
In recent years in the field of biomedi cal optics a new basic approach in a well- tested diagnostic direction has been
formed - Mueller-matrix polarimetry of biological tissues 1 - 13.
However, for non-depolarizing biological layers 5,6,14-28 more appropriate to apply the Jones-matrix formalism.
Our work consists in the study of the modulus and phase dist ributions of the Jones-matrix elements characterizing the
optically anisotropic structure of uterine wall histological sections with second-degree and third-degree endometriosis
using the statistical and correla tion approaches. The aim of the research is to determine the objective criteria that ensure
reliable differentiation of such objects and can be treated as the basis for the development of Jones-matrix diagnostics of
non-depolarizing biological layers.
2. BRIEF THEORY
It is obtained an analytical expression for the resulting Jones matrix of a phase anisotropic transparent layer by modeling
as a sequence of linearly and circularly birefringent layers in 18-28.
{}
U
UiUU
U
U
U
U
UiU
jj
jjJ
2
sincossin
sin
2
sincos
2221
1211
δζ
ζδ
+
−−
== . (1)
2
2222
2 ⎟
⎠
⎞⎜
⎝
⎛+==
δζθNU . (2)
Expression (1) is an accurate analytical record of Jones-matrix elements of an optically anisotropic layer with linear ( δ )
and circular ( ζ ) birefringence.
In the approximation of weak phase fluctuations (1) can be rewritten as follows
Applications of Digital Image Processing XL, edited by Andrew G. Tescher, Proc. of SPIE
Vol. 10396, 103962M · © 2017 SPIE · CCC code: 0277-786X/17/$18 · doi: 10.1117/12.2273764
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0.8
0.6
0.4
0.2
S(x,Y)
(1)
200
150
100
50
0
0
N(S)
I
50010001500
( )[] [ ]
[] ()[] 22
2
21
1211
2
2221
1211
12
21
δζζδζ
ζδζδζ
ii
ii
jj
jj
+++
+−+= . (3)
From Jones matrix (3) we obtain the analytical expressions for linear (δ ) and circular ( ζ )birefringence
( )21;122 jtgArg=δ . (4)
( )( )
()() 22;11
21;12
5,01 jArgtg
jArgtg−=ζ . (5)
Measurements of the elements of Jone s matrix distributions were carried ou t according to the classical technique
presented in 16.
3. ANALYSIS AND DISCUSSION OF EXPERIMENTAL DATA
Two groups of histological sections of the endometriosis uterine wall second-degree (sample 31 - group 1) and third-
degree (sample 31) were studied.
The series of Fig. 1 - Fig. 4 represent maps (fragments 1), histograms (fragments (2)), autocorrelation functions
(fragments (3)) and logarithmic dependences of power spectra (fragments (4)) extreme values distributions of Linear
(
δ )and circular ( ζ )birefringence of the group 1 (Figure 1, Figure 3) endometrium histological sections and group 2
(Fig. 2, Fig. 4).
Figure 1. Statistical, correlation and fractal parameters of the group 1 of endometrium sample linear birefringence
distributions.
Proc. of SPIE Vol. 10396 103962M-2
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0.8
0.6
0.4
0.2
alX,Yl
(1)
K(S)
5001000
(2)
1500
0.8
0.6
0.4
0.2
SIx5Y/
(1)
500100015002000
600
NG)
500-
400-
300
200
0 50010001500
(2)
Figure 2. Statistical, correlation and fractal parameters of the group 2 of endometrium sample linear birefringence
distributions.
Figure 3. Statistical, correlation and fractal parameters of the group 1 of endometrium sample circular birefringence
distributions.
Proc. of SPIE Vol. 10396 103962M-3
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0.8
0.6
0.4
0.2
4(X,Y)
(1)
700
650
600
550
500
450-
4000
N (4)
I
N
5001000
(2)
1500
Figure 4. Statistical, correlation and fractal parameters of the group 2 of endometrium sample circular birefringence
distributions.
In order to identify the sensitivity of the Jones matrix met hod of planar polycrystalline n on-depolarizing layers mapping
to changes of linear and circular birefringence the results obtained (Fig. 1 - Fig. 4) were compared by determining the set
of statistical (statistical moments of the 1st - 4th orders 14), correlation (correlation moments 2nd and 4th orders 15) and
fractal 16 parameters that characterize the distribution δ и ζ – Table 1.
Table 1. Statistical, correlation and fractal moments of linear and circular birefringence distributions
iZ Group 1 Group 2
δ ζ δ ζ
1Z 0,055 0,06 0,029 0,052
2Z 0,029 0,08 0,017 0,06
3Z 0,22 1,52 0,02 1,23
4Z 1,35 3,17 0,77 1,94
2kZ 0.11 0.008 0.14 0,12
4kZ 1.88 2.44 1.02 3.89
fD 0.19 0.25 0.23 0,33
The comparative analysis of data presented in Table 1 showed diagnostic sensitivity of a number of objective
parameters:
• ()
() ;86,1
;05,2
4
4
=Δ
=Δ
ζ
δ
Z
Z
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• ()
() ; 66 , 1
; 79 , 1
4
4
= ΔΖ
= ΔΖ
ζ
δ
k
k
•
()
() . 63 , 1
; 55 , 1
= Δ
= Δ
ζ
δ
f
f
D
D
References
[1] Müller G. et al., Eds., [Medical Op tical Tomography: Functional Imaging and Monitoring] Vol. IS11, SPIE
Press, Bellingham, Washington (1993).
[2] Wang L. V. and Wu H.-I., [Biomedical Optics: Princi ples and Imaging], Wiley-In terscience, Hoboken, Ne w
Jersey (2007).
[3] Boas D., Pitris C., and Ramanujam N., Eds., [Handbook of Biomedical Optics], CRC Press, Boca Raton,
London, New York (2011).
[4] Vo-Dinh T., Ed., [Biomedical Photonics Handbook], 2nd ed., CRC Press, Boca Raton (2014).
[5] Tuchin V. V., [Tissue Optics: Light Scattering Methods and Instruments for Medical Diagnostics], 3rd ed., Vol.
PM 254, SPIE Press, Bellingham, Washington (2015).
[6] Ghosh N.and Vitkin I. A., “Tissue polarimetry: concepts, challenges, applications and outlook,” J. Biom ed.
Opt. 16, 110801 (2011).
[7] Wu P. J. and J. T. Walsh Jr., “Stokes polarimetry im aging of rat tail tissue in a turbid medium: degr ee of
linear polarization image maps using incident linearly polarized light” J. Biomed. Opt. 11, 014031 (2006).
[8] Shukla P. and Pradhan A., “Mueller decomposition images for cervical tissue: potential for discriminati ng
normal and dysplastic state” Opt. Express 17, 1600–1609 (2009).
[9] Li X.and Yao G., “Mueller matrix decomposition of diffuse reflectance imaging in skeletal muscle,” Appl.
Opt. 48, 2625–2631 (2009).
[10] Angelsky, O. V., Gorsky, M. P., Hanson, S. G., Lukin, V. P., Mokhun, I. I ., Polyanskii, P. V., Ryabiy, P. A.,
“Optical correlation algorithm for reconstructing phase skeleton of complex optical fields for solving the
phase problem,” Opt. Exp. 22(5), 6186-6193 (2014).
[11] Du E. et al., “Mueller matrix polarimetry for differentiating characteristic features of cancerous tissues,” J.
Biomed. Opt. 19(7), 076013 (2014).
[12] Angelsky, O.V., Hanson, S.G., Maksimyak, P.P., Maks imyak, A.P., Zenkova, C.Yu., Polyansk ii, P.V.,
Ivanskyi, D.I., "Influence of evanescent wave on birefringent microplates," Opt. Express 25, 2299-2311
(2017).
[13] Angelsky, O. V., Bekshaev, A. Ya., Maksimyak, P. P., Maksimyak, A. P., Hanson, S. G., Kontush, S. M .,
"Controllable generation and manipulation of micro-bubbles in water with absorptive colloid particles by CW
laser radiation," Opt. Express 25, 5232-5243 (2017).
[14] Ushenko V. A., Gavrylyak M. S., “Azimuthally invariant Mueller-matrix mapping of biological tissue in
differential diagnosis of mechanisms protein molecules networks anisotropy” Proc. SPIE 8812, Biosensing
and Nanomedicine VI, 88120Y (2013).
[15] Ushenko V. A., Gorsky M. P., “Complex degree of mutual anisotropy of linear birefringence and optical
activity of biological tissues in diagnostics of prostate cancer” Optics and Spectroscopy, 115(2), 290- 297
(2013).
Proc. of SPIE Vol. 10396 103962M-5
Downloaded From: https://www.spiedigitallibrary.org/conference-proceedings-of-spie on 10/10/2017 Terms of Use: https://spiedigitallibrary.spie.org/ss/TermsOfUse.aspx
[16] Ushenko Y.A., Boychuk T.M., Bachynsky V.T. and Mincer O.P., [Diagnostics of Structure and Physiological
State of Birefringent Biological Tissues: Statistical, Correlation and Topological Approaches], Handbook of
Coherent-Domain Optical Methods, 107-148 (2013).
[17] Angelsky, O. V., Bekshaev, A. Ya., Maksimyak, P. P. , Maksimyak, A. P., Hanson, S. G., Zenkova, C. Yu.,
“Self-diffraction of continuous laser radiation in a disperse medium with absorbing particles,” Optics Express
21(7), 8922-8938, (2013).
[18] Angelsky, O. V., Bekshaev, A. Ya., Maksimyak, P. P. , Maksimyak, A. P., Hanson, S. G., Zenkova, C. Yu.,
”Self-action of continuous laser radiation and Pearcey diffraction in a water suspension with light-absorbing
particles,” Optics Express 22(3), 2267-2277, (2014).
[19] Ushenko V. A., Zabolotna N. I., Pavlov S. V., Burcovets D. M. and Novakovska O. Yu., “Mueller-matrices
polarization selection of two-dimensional linear and circular birefringence images,” Proc.SPIE 9066, (2013).
[20] Ushenko V. A., Dubolazov A. V., “Correlation and se lf similarity structure of polycrystalline ne twork
biological layers Mueller matrices images,” Proc. SPIE 8856, (2013).
[21] Ushenko Yu. A., Ushenko V. A., Dubolazov A. V., Balanetskaya V. O. and Zabolotna N. I., “Mueller-matrix
diagnostics of optical properties of polycrystalline networks of human blood plasma” Op tics and
Spectroscopy 112(6), 884-892 (2012).
[22] Ushenko Yu. A., Dubolazov A. V., Balanetskaya V. O. , Karachevtsev A. O. and Ushenko V. A., “Wavelet-
analysis of polarization maps of human blood plasma,” Optics and Spectroscopy, 113(3), 332-343. (2012).
[23] Angelsky, O.V., Tomka, Y.Y., Ushenko, A.G., Ushenko, Y.G., Yermolenko, S.B., ”2-D tomography of
biotissue images in pre-clinic diagnostics of their pre-cancer states,” Proc. SPIE., 5972, 158-162, (2005).
[24] Angelsky, O.V., Besaha, R.N., Mokhun, A.I., Mokhun, I.I., Sopin, M.O., Soskin , M.S., “Singularities in
vectoral fields,” Proc. SPIE, 40-54, (1999).
[25] Polyanskii, V.K., Angelsky, O.V., Po lyanskii, P.V., “Scattering-induced spectral changes as a singular
optical effect,” Optica Applicata 32 (4), 843-848, (2002).
[26] Ungurian V. P., Ivashchuk O. I., Ushenko V. O., “Statistical analysis of polarizing maps of blood plasma
laser images for the diagnostics of malignant formations,” Proc. SPIE 8338, 83381L (2011).
[27] Ushenko V. A., Dubolazov O. V., Karachevtsev A. O ., “Two wavelength Mueller matrix reconstruction of
blood plasma films polycrystalline structure in diag nostics of breast cancer,” Ap plied Optics. 53(10), B128-
B139 (2014).
[28] Prysyazhnyuk V. P., Ushenko Yu. A., Dubolazov A. V., Ushenko A. G. and Ushenko V. A., "Polarization-
dependent laser autofluorescence of the polycrystalline ne tworks of blood plasma films in the task of liv er
pathology differentiation," Appl. Opt. 55, B126-B132 (2016).
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