Circular Ranging OCT
Norman Lippok in the Vakoc Laboratory is advancing new techniques in Circular Ranging OCT (CR-OCT). In recent work he presents the latest on unwrapping CR-OCT signals.
"Present CR-OCT systems resolve the relative, but not the absolute, depth location of the scatterers. We show that using a degenerate frequency comb source allows recovery of absolute depth information while only minimally impacting the RF bandwidth compression. A degenerate frequency comb can be created by relatively simple modifications to existing frequency comb source designs."
CBORT Symposium 2021
CBORT hosted Machine Learning in OCT Imaging
Machine Learning in OCT Imaging: Novel Applications & New Research Opportunities took place on May 7th, 2021. The virtual meeting served to highlight the increasing impact of advanced machine learning for OCT and further connected biomedical optics, medical imaging, and machine learning/computer vision experts. Video presentations are now available on the Symposia page.
Layer-based, depth resolved computation of attenuation coefficients and backscattering fractions in tissue using optical coherence tomography
Taylor Cannon, graduate student at CBORT demonstrated an improved, layer-based approach, for calculating depth-resolved attenuation coefficients to improve quantitative OCT imaging.