Differentiation methods of rat brain tissues and glioma model 101.8 ex vivo using optical coherence tomography

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.