Speckle noise assessment as a method of OCT analysis of brain glioma
Polina V. Aleksandrova 1,2,3 Irina N. Dolganova 2,3,4 Kirill I. Zaytsev 1,3,4 Pavel V. Nikitin 4 Anna I. Alekseeva 5 Igor V. Reshetov 6
1 Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow 119991, Russia, 2 Institute of Solid State Physics of the Russian Academy of Sciences, Chernogolovka 142432, Russia, 3 Bauman Moscow State Technical University, Moscow 105005, Russia, 4 Institute for Regenerative Medicine, Sechenov University, Moscow 119048, Russia, 5 Research Institute of Human Morphology, Moscow 117418, Russia, 6 Institute for Cluster Oncology, Sechenov University, Moscow 119991, Russia
Abstract
Optical coherence tomography (OCT) is widely applied in biomedical research and is used to visualize the internal structure of tissue samples. The detailed examination of OCT images is strongly disturbed by the presence of speckle noise. But it can also carry information that can characterize the visualized tissue. The analysis of the shape and scale parameters derived from the probability density function of the standard gamma distribution applied to the imaging of speckles was performed in this work. Application of such analysis to the OCT images of ex vivo brain glioma and intact tissues provided additional features for differentiation of tissue types and demonstrated its efficiency for the prospects of OCT in neurosurgery.
Speaker
Polina Aleksandrova
Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow 119991, Russia;
Russia
Discussion
Ask question
