SYSTEM OF DOUBLE-WAVE LASER DIAGNOSTICS OF THE MAMMARY GLANDS BY POLARIZATION MAPPING OF IMAGES OF BLOOD PLASMA FILMS
DOI:
https://doi.org/10.31649/1999-9941-2024-59-1-146-157Keywords:
system, two-wave laser diagnostics, mammary glands, azimuth and ellipticity of polarization, blood plasma films, models of fuzzy logicAbstract
Well-known systems and methods of polarization mapping of blood plasma films make it possible to record tumor changes in the mammary glands at the stages of preclinical development, which are not characteristic of other diagnostic technologies. This happens due to the high sensitivity of the polarization parameters of the object field to changes in the anisotropic structure of blood plasma proteins that occur in the early stages of the disease. However, measurements at only one wavelength of laser radiation limit the potential possibilities of laser polarimetry methods to increase the reliability of mammary gland diagnostics. At the same time, the current level of information technology development creates all the possibilities for the application of intellectual analysis and the introduction of decision-making support methods into such systems. The material of the article is devoted to the improvement of the method of mapping azimuths and ellipticities of polarization images of blood plasma films in the mammary gland diagnostic system by means of measurement and analysis at two wavelengths of 0.638 μm and 0.405 μm. The improved architecture of the system of two-wave laser diagnostics of mammary glands and the structure of the algorithmic software, into which a decision support subsystem is introduced, are given. An experimental study of two groups of blood plasma film samples taken from healthy women (group 1 - 35 samples) and from women with breast cancer (group 2 - 35 samples) was conducted. Statistical estimates of coordinate distributions and autocorrelation functions of azimuths and ellipticities of polarization of blood plasma films taken from women of group 1 and group 2 were determined at two wavelengths. Among them, the most sensitive to changes in the physiological state of the mammary glands were chosen as informative signs. Fuzzy models of decision rules have been developed based on established informative features at two wavelengths. The reliability of the two-wave method of diagnosing pathological conditions of the mammary glands in the improved system was evaluated. In comparison with analogs, an increase in the reliability of diagnosis was achieved by 4% and 3%, respectively.
References
N. Ghosh, I. A. Vitkin, “Tissue polarimetry: concepts, challenges, applications, and outlook,” Journal of Biomedical Optics, vol. 16, no.11, 110801. 2011.
M. Anastasiadou et al., “Polarimetric imaging for the diagnosis of cervical cancer,” Phys. Status Solidi C, vol. 5, pp. 14231426. 2008.
A. Pierangelo et al., “Ex-vivo characterization of human colon cancer by Mueller polarimetric imaging,” Optics express, vol. 19, no 2, pp. 15821593. 2011.
S. Alalia S., A. Vitkin, “Polarized light imaging in biomedicine: emerging Mueller matrix methodologies for bulk tissue assessment,” Journal of Biomedical Optics, vol. 20, no 6, 061104. 2015.
О. Г. Ушенко та ін., Лазерна поляриметрія біологічних тканин. Діагностика пухлин жіночих репродуктивних органів. Чернівці, Україна: Чернівецький нац. ун-т, 2010.
Ye Wang et al., “Mueller matrix microscope: a quantitative tool to facilitate detections and fibrosis scorings of liver cirrhosis and cancer tissues,” Journal of Biomedical Optics, vol. 21, no 7, 071112. 2016.
O. P. Mintser, N. I. Zabolotna, B. P. Oliinychenko, and P. Komada, “Differential phase analysis of laser images of a polycrystalline component of blood plasma in diagnostics of pathological changes in mammary gland,” Proc. SPIE, vol. 8698, 86980D. 2012.
N. I. Zabolotna et al., “System of polarization phasometry of polycrystalline blood plasma networks in mammary gland pathology diagnostics,” Proc. of SPIE, vol. 9613, 961311. 2015.
N. I. Zabolotna, K. O. Radchenko, M. H. Tarnovskiy, “System of Mueller-Jones matrix polarizing mapping of blood plasma films in breast pathology,” Proc. SPIE. 2017, vol. 10407, 1040714. 2017.
Н. І. Заболотна, Б. П. Олійниченко, В. В. Шолота, “ROC – аналіз поляризаційного картографування азимутів зображень плівок плазми крові у діагностуванні патологій молочних залоз,” Оптико-електронні інформаційно-енергетичні технології, №2, c. 52-59. 2017.
N. I. Zabolotna et al., “ROC analysis of informativeness of mapping of the ellipticity distributions of blood plasma films laser images polarization in the evaluation of pathological changes in the breast,” Proc. SPIE, vol., no 11456, 114560I. 2020.
Н. І. Заболотна, “Інтелектуалізована система поляризаційного картографування плівок плазми крові у діагностиці онкологічного стану молочних залоз,” Оптико-електронні інформаційно-енергетичні технології, №1, c. 3946. 2016.
Н. І. Заболотна, “Архітектура і алгоритми функціонування та аналізу даних двовимірних систем лазерної поляриметрії біологічних тканин,” Оптико-електронні інформаційно-енергетичні технології, № 1, c. 5465. 2013.
L. A. Zadeh, “Fuzzy logic: principles, applications, and perspectives,” Proc. SPIE, vol. 1468. 1991.
Н. І. Заболотна, О. В. Бісікало, В. В. Шолота, “Підтримка прийняття рішень в системі поляризаційної зображальної діагностики гістологічних зрізів за аналізом їх параметрів анізотропії,” Оптико-електронні інформаційно-енергетичні технології, том 40, № 2, с. 29–40. 2020.
References
N. Ghosh, I. A. Vitkin, “Tissue polarimetry: concepts, challenges, applications, and outlook,” Journal of Biomedical Optics, vol. 16, no.11, 110801. 2011
M. Anastasiadou et al., “Polarimetric imaging for the diagnosis of cervical cancer,” Phys. Status Solidi C, vol. 5, pp. 14231426. 2008.
A. Pierangelo et al., “Ex-vivo characterization of human colon cancer by Mueller polarimetric imaging,” Optics express, vol. 19, no 2, pp. 15821593. 2011.
S. Alalia S., A. Vitkin, “Polarized light imaging in biomedicine: emerging Mueller matrix methodologies for bulk tissue assessment,” Journal of Biomedical Optics, vol. 20, no 6, 061104. 2015.
O. H. Ushenko ta in., Lazerna poliarymetriia biolohichnykh tkanyn. Diahnostyka pukhlyn zhinochykh reproduktyvnykh orhaniv. Chernivtsi, Ukraina: Chernivetskyi nats. un-t, 2010.–[in Ukrainian].
Ye Wang et al., “Mueller matrix microscope: a quantitative tool to facilitate detections and fibrosis scorings of liver cirrhosis and cancer tissues,” Journal of Biomedical Optics, vol. 21, no 7, 071112. 2016.
O. P. Mintser, N. I. Zabolotna, B. P. Oliinychenko, and P. Komada, “Differential phase analysis of laser images of a polycrystalline component of blood plasma in diagnostics of pathological changes in mammary gland,” Proc. SPIE, vol. 8698, 86980D. 2012.
N. I. Zabolotna et al., “System of polarization phasometry of polycrystalline blood plasma networks in mammary gland pathology diagnostics,” Proc. of SPIE, vol. 9613, 961311. 2015.
N. I. Zabolotna, K. O. Radchenko, M. H. Tarnovskiy, “System of Mueller-Jones matrix polarizing mapping of blood plasma films in breast pathology,” Proc. SPIE. 2017, vol. 10407, 1040714. 2017.
N. I. Zabolotna, B. P. Oliinychenko, V. V. Sholota, “ROC – analiz poliaryzatsiinoho kartohrafuvannia azymutiv zobrazhen plivok plazmy krovi u diahnostuvanni patolohii molochnykh zaloz,” Optyko-elektronni informatsiino-enerhetychni tekhnolohii, №2, s. 52-59. 2017.– [in Ukrainian].
N. I. Zabolotna et al., “ROC analysis of informativeness of mapping of the ellipticity distributions of blood plasma films laser images polarization in the evaluation of pathological changes in the breast,” Proc. SPIE, vol., no 11456, 114560I. 2020.
N. I. Zabolotna, “Intelektualizovana systema poliaryzatsiinoho kartohrafuvannia plivok plazmy krovi u diahnostytsi onkolohichnoho stanu molochnykh zaloz,” Optyko-elektronni informatsiino-enerhetychni tekhnolohii, № 1, s. 39–46. 2016.– [in Ukrainian].
N. I. Zabolotna, “Arkhitektura i alhorytmy funktsionuvannia ta analizu danykh dvovymirnykh system lazernoi poliarymetrii biolohichnykh tkanyn,” Optyko-elektronni informatsiino-enerhetychni tekhnolohii, № 1, s. 54–65. 2013.– [in Ukrainian].
L. A. Zadeh, “Fuzzy logic: principles, applications, and perspectives,” Proc. SPIE, vol. 1468. 1991.
N. I. Zabolotna, O. V. Bisikalo, V. V. Sholota, “Pidtrymka pryiniattia rishen v systemi poliaryzatsiinoi zobrazhalnoi diahnostyky histolohichnykh zriziv za analizom yikh parametriv anizotropii,” Optyko-elektronni informatsiino-enerhetychni tekhnolohii, tom 40, № 2, s. 29–40. 2020. – [in Ukrainian].
Downloads
-
PDF (Українська)
Downloads: 19
