METHODS AND TOOLS FOR COMPUTER ANALYSIS OF MICROSCOPIC IMAGES OF CIRCULATING TUMOR CELLS

Authors

  • O. Yu. Azarhov Vinnytsia National Technical University1 Pryazovskyi State Technical University2 Medical Center of Aviation University, Kyiv3 Department of Health, Mariupol4
  • S. M. Zlepko Vinnytsia National Technical University1 Pryazovskyi State Technical University2 Medical Center of Aviation University, Kyiv3 Department of Health, Mariupol4
  • S. V. Timchik Vinnytsia National Technical University1 Pryazovskyi State Technical University2 Medical Center of Aviation University, Kyiv3 Department of Health, Mariupol4
  • T. A. Chernyshova Vinnytsia National Technical University1 Pryazovskyi State Technical University2 Medical Center of Aviation University, Kyiv3 Department of Health, Mariupol4
  • S. O. Danilkov Vinnytsia National Technical University1 Pryazovskyi State Technical University2 Medical Center of Aviation University, Kyiv3 Department of Health, Mariupol4

DOI:

https://doi.org/10.11603/2415-8798.2017.4.8310

Keywords:

circulating tumor cells, methods of detecting tumor cells, computer analysis.

Abstract

The article describes the classification of automated systems for the processing of biomedical images, their modes of operation. In most cases, the use of existing software for the processing and analysis of medical cell images is recommended to use automatic mode, but this does not achieve the desired result.

The aim of the study – to improve the image processing methods and eliminate the disadvantages of existing methods for detecting tumor cells in the blood.

Materials and Methods. For the analysis of medical images of cell structures and obtaining the basic morphological parameters of objects in digital images, it is necessary to take into account the need to "bring" the resulting image to the required quality. In the future, the digital image must accurately represent the original optical image with the resolution required for each specific application. Resolution in digital format is characterized by two parameters: photometric resolution – bright resolution and spatial resolution. Realization of tasks on image processing is achieved using mathematical operations: linear and nonlinear filtration; arithmetic-logical operations; mathematical morphology; threshold segmentation; interactive measurements; making images and so on.

Results and Discussion. For the successful application of methods for detecting tumor cells in the blood and bone marrow, it is necessary to improve the methods of identification of disseminated tumor cells (DTC) and circulating tumor cells (CTC). The process of obtaining, treating and detecting microscopic images of circulating tumor cells with the help of the information technology developed by the authors for the determination of CTC in human blood, it should be noted that it is based on the improved ISET method of detecting the CTC. The very method and ISET technology to date are one of the most effective means of detecting the CTC in human blood.

Conclusions. The advanced method and information technology provide: maximum preservation of the integrity and integrity of the CTC; minimal impact (physician) on the process of determining and calculating the CTC.

Author Biographies

O. Yu. Azarhov, Vinnytsia National Technical University1 Pryazovskyi State Technical University2 Medical Center of Aviation University, Kyiv3 Department of Health, Mariupol4

зав. каф. БМІ 

S. M. Zlepko, Vinnytsia National Technical University1 Pryazovskyi State Technical University2 Medical Center of Aviation University, Kyiv3 Department of Health, Mariupol4

зав. кафедри БМІ

S. V. Timchik, Vinnytsia National Technical University1 Pryazovskyi State Technical University2 Medical Center of Aviation University, Kyiv3 Department of Health, Mariupol4

доцент каф. БМІ

T. A. Chernyshova, Vinnytsia National Technical University1 Pryazovskyi State Technical University2 Medical Center of Aviation University, Kyiv3 Department of Health, Mariupol4

Лікар

S. O. Danilkov, Vinnytsia National Technical University1 Pryazovskyi State Technical University2 Medical Center of Aviation University, Kyiv3 Department of Health, Mariupol4

Начальник департаменту охорони здоров’я

References

Bogdanov, A.K. & Protsenko, V.D. (2008). Praktycheskiye prymenenyya sovremennikh metodov analyza yzobrazhenyy v medycyneю Uchebnoe posobie [Practical applications of modern methods of image analysis in medicineю. Tutorial]. Moskva [in Russian].

Abrameyko, S.V. & Nedzved, A.I. (2005). Obrabotka optycheskykh yzobrazheniy kletochnskh struktur v medycyne [Processing of optical images of cellular structures in medicine]. Mp. : OIPI NAK Belarusi, 156 [in Russian].

Prezentatsiia «Obrabotka yzobrazhenyy y prostoy alghorytm analyza yzobrazhenyy». [Image processing and simple image analysis algorithm]. [in Russian]. Retrieved from: caurses.graphicon.ru/files/courses/vision/2010/ev_2010_02.pdf

Rusin, B.P. (1997). Systemy syntezu, obrobky ta rozpiznannia skladno-strukturovanykh zobrazhen [Systems of Synthesis, Processing and Recognition of Complex-Structured Imagery]. Lviv: Vertikal, 262 [in Ukrainian].

Ganish, N.V. (2008). Optyko-elektrona systema analizu realistychnykh vlastyvostey krovi [Optical-electronic system of analysis of realistic properties of blood.] Candiates thesis, Spetsialnist 05.11.17 «Biolohichni ta medychnii prylady i systemy». Vinnitsia, 16 [in Ukrainian].

Zubtsov, D.A., Zubtsova, Zh.I., Lavrov, A.V., Leggenko, E.V., Aladinskiy, V.A. … Poteryahina, A.V. (2012). Cyrkuliruyushchiye opukhlevyye kletky (COK) pry rake molochnoy zhelezy: proghnostycheskaia znachymost i metody vydelyeniya. [Circulating Swelling Cells (CKCs) for Breast Cancer: Prognostic Importance and Methods for Isolation]. Trudyi MFTI – Proceedings of MIPT, 4, 3, 18-26 [in Russian].

Tan, S., Yobas, L., Lee, G. & Ong, C. (2009). Microdevise for the isolation and enumeration of cancer cells from blood. Biomedical microdevices, 11, 4, 883-892.

Inatiadis, M., Xenidis, N., Perraki, M., Apostolaki, S., Politaki, E., Kafousi, M. & Stathopoilos, E. (2007). Different prognostic value of cytokeratin-19-positive circulating tumor cells according to estrogen receptor and HER2 status in early – stage breast cancer. Journal of clinical oncology: Official jornal of the American Society of Clinical Oncology, 25, 16, 5194-5202.

Stathopoulau, A., Vlachonikolis, I., Mavroudis, D., Perraki, M., Kouroussis, C., Apostolaki, S. & Malamos, N. (2002). Molecular detection of cytoceratin-19-positiv cells in the peripheral blood of patients with operable breast cancer: evalution of their prognostic signifinance. Jornal of clinical oncology: official jornal of the American Society of Clinical Oncology, 20, 16, 3404-3412.

Sieqel, R., Naishadham, D. & Jemal, A. (2012). Cancer statistics. Cancer d. 10-29.

Published

2018-01-13

How to Cite

Azarhov, O. Y., Zlepko, S. M., Timchik, S. V., Chernyshova, T. A., & Danilkov, S. O. (2018). METHODS AND TOOLS FOR COMPUTER ANALYSIS OF MICROSCOPIC IMAGES OF CIRCULATING TUMOR CELLS. Bulletin of Scientific Research, (4). https://doi.org/10.11603/2415-8798.2017.4.8310

Issue

Section

EXCHANGE OF EXPERIENCE