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Differentiation methods of rat brain tissues and glioma model 101.8 ex vivo using optical coherence tomography
Russian version
Aleksandrova P. V. 1,2, Zaytsev K. I. 1, Nikitin P. V. 3, Alekseeva A. I. 4, Nebezhev A. A.5, Polshina V. I.5, Karalkin P. A. 5, Dolganova I. N. 2
1Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, Russia
2Osipyan Institute of Solid State Physics RAS, Chernogolovka, Russia
3 University of Houston, Houston, Texas, USA
4Avtsyn Research Institute of Human Morphology of Federal State Budgetary Scientific Institution ” Petrovsky National Research Centre of Surgery“, Moscow, Russia
5Sechenov First Moscow State Medical University, Ministry of Health of the Russian Federation, Moscow, Russia
Email: aleksandrovapolina98@gmail.com, in.dolganova@gmail.com
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The article considers two methods of image analysis obtained by using optical coherence tomography (OCT): analysis of attenuation coefficient and speckle-structures of images as regards differentiation of intact tissues and rat brain tumors. The glioma model 101.8 was used for extracting information from speckle structures using wavelet analysis method of OCT images and calculating the power of local brightness fluctuations in speckles. Applying linear discriminant analysis, the effectiveness of the developed approach consisting of two methods was evaluated on the basis of sensitivity, specificity and precision values in differentiation of glioma model and intact tissues. The results of the study showed the advantages of the developed OCT image analysis method for neurosurgery. Keywords: optical coherence tomography, glioma, wavelet analysis, Fisher linear discriminant analysis, speckle structure, attenuation coefficient.
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