Visible-light optical coherence tomography oximetry based on circumpapillary scan and graph-search segmentation.

Visible-light optical coherence tomography (vis-OCT) enables retinal oximetry by measuring the oxygen saturation of hemoglobin (sO) from within individual retinal blood vessels. The sO calculation requires reliable estimation of the true spectrum of backscattered light from the posterior vessel wall. Unfortunately, subject motion and image noise make averaging from multiple A-lines at the same depth position challenging, and lead to inaccurate sO estimation. In this study, we developed an algorithm to reliably extract the backscattered light's spectrum. We used circumpapillary scanning to sample the vessels repeatedly at the same location. A combination of cross-correlation and graph-search based segmentation extracted the posterior wall locations. Using measurements from 100 B-scans as a gold standard, we demonstrated that our method achieved highly accurate measures of sO with minimal bias. In addition, we also investigated how the number of repeated measurements affects the accuracy of sO measurement. Our method sets the stage for large-scale studies of retinal oxygenation in animals and humans.