PCA-LSCT: Software-Implemented Laser Speckle Contrast Tomography
Yuriy I. Surkov, Isabella A. Serebryakova, Arseniy P. Fashchevskiy, Polina A. Timoshina, Elina A. Genina, Valery V. Tuchin
Saratov State University, Saratov, Russia
Abstract
We present a principal component analysis-based Laser Speckle Contrast Tomography (PCA-LSCT) method that enables simultaneous, independent mapping of vessel depth and blood-flow velocity without any modification to the optical layout of conventional laser speckle contrast imaging (LSCI). Raw speckle frames are decomposed by a principal component analysis into a static component–the Static Speckle Contrast (SSC)–and a dynamic component–the Dynamic Activity Coefficient (DAC). The SSC is linearly correlated with the relative depth of vessels and is invariant to flow speed, whereas the DAC quantifies blood-flow velocity analogously to classical LSCI and is only weakly depth-dependent. Experiments with phantoms containing a model capillary and flow velocities ranging from 1 to 50 mm/s demonstrate high reproducibility of SSC profiles and a strong correlation between the resulting depth maps and ultrasound tomography (r2 = 0.90 for transmitted-light detection, r2 = 0.88 for backscattered-light detection). The suggested approach has been tested in vivo on a ring finger and has confirmed its high potential for providing non-invasive, contactless, depth-resolved 3D angiography.
Speaker
Yuriy I. Surkov
Saratov State University, Saratov, Russia
Russia
Upload Report
Discussion
Ask question
