Principal Component Analysis Based Filtering for Laser Speckle Imaging
Ivan S. Uvakin1, Yuri I. Surkov1,2, Polina A. Timoshina1,2,3 Isabella A. Serebryakova1,2, ., Stavtcev D.4,5, Kozlov I.4, Piavchenko G.6, Meglinski I.7, Konovalov A. 4,8., Telyshev D.4,5, Kuznetcov S.6, Elina A. Genina1,2; Tuchin V. V.1,2,3
1Saratov State University, Saratov, Russia;
2Scientific Medical Center, Saratov State University, 410012 Saratov, Russia 9
3Laboratory of Laser Molecular Imaging and Machine Learning, Tomsk State University, 10
634050 Tomsk, Russia 11
4Institute for Bionic Technologies and Engineering, I.M. Sechenov First Moscow State 12
Medical University, Moscow, 119991, Russia 13
5Institute of Biomedical Systems, National Research University of Electronic Technology, 14
Zelenograd, Moscow, 124498, Russia 15
6 Department of Human Anatomy and Histology, Cytology and Embryology, Institute of 16
Clinical Medicine N.V. Sklifosovsky, I.M. Sechenov First Moscow State Medical University 17
8-2 Trubetskaya str., Moscow 119991, Russia 18
7Aston Institute of Materials Research, School of Engineering and Applied Science, Aston 19
University, Birmingham B4 7ET, UK 20
8Burdenko Neurosurgery Institute, Russia
Abstract
Laser speckle contrast imaging (LSCI) is a method based on the analysis of speckle images, allowing visualization of blood flow in vessels at different depths. When biological tissue is illuminated with coherent light, a random interference speckle-modulated pattern occurs due to light scattering by components of the biological tissue. Static tissue creates a constant type of speckle, while moving objects, such as blood cells, can cause phase shifts in the scattered light, which leads to spatial and temporal fluctuations of the speckle pattern. The statistics of this fluctuating speckle signal provides information on the parameters of the movement of scattering objects. The presence of a scattering layer above a blood vessel inevitably affects the speckle signal from the vessel. In addition, a change in the optical properties of the static scattering layer will also lead to a change in the recorded speckle patterns. To objectively assess blood flow parameters, it is necessary to separate the dynamics of the static and dynamic parts of speckle patterns. In this report, we propose to use the method of principal component analysis (PCA) in combination with spatial, temporal and spatiotemporal speckle contrast imaging and laser speckle entropy imaging in reflection and transmission modes to improve the quality of vessel imaging by separating the static and dynamic components of backscattered light. The work was supported by the RSF grant no. 22-65-00096.
Speaker
Ivan S. Uvakin
Saratov State University, Saratov, Russia
Russia
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