Intraoperative OCT diagnosis of brain gliomas
Polina V. Aleksandrova,1,2 Irina N. Dolganova,2,3 Kirill I. Zaytsev,1,3 Pavel V. Nikitin,4 Anna I. Alekseeva,5 Igor V. Reshetov,6
1 Prokhorov General Physics Institute RAS, Moscow, Russia
2 Institute of Solid State Physics RAS, Chernogolovka, Russia
3 Bauman Moscow State Technical University, Moscow, Russia
4 Skolkovo Institute of Science and Technology, Moscow, Russia
5 Research Institute of Human Morphology, Moscow, Russia
6 Institute for Cluster Oncology, Sechenov University, Moscow, Russia
Abstract
Optical coherence tomography (OCT) is fast and noninvasive medical diagnostic modality, which enables cross-sectional imaging of the internal microstructure in biological tissues by measuring echoes of the backscattered light. The analysis of OCT signals is aimed at determining the optical properties, in particular the scattering coefficient, of an object. The detailed examination of OCT images is also strongly disturbed by the presence of speckle noise, which is an important contributor to the texture patterns in OCT images. Since speckle depends upon the size and density of the scatterers within a tissue, texture analysis of speckle patterns can be used for classification of normal and pathological tissues. In this work, the statistical analysis and the wavelet analysis of the OCT speckle patterns were performed for the OCT images of the ex vivo rat brain glioma model 101.8 and intact brain tissues. The results were compared with those obtained by the analysis of tissue scattering properties and histological studies. This work demonstrates the prospects of OCT speckle analysis as well as its combination with scattering analysis for intraoperative neurodiagnosis.
File with abstract
Speaker
Polina Aleksandrova
Prokhorov General Physics Institute of the Russian Academy of Sciences
Russia
Discussion
Ask question
