An efficient method of evaluating the level of contrast of an OCT dataset is presented. The method develops a metric to segregate useful and not-so-useful data in one or more OCT B-scans, in order to reduce spurious subsequent analyses of the data by downstream segmentation algorithms. It designed to be fast and presents results in real-time.
EVALUATION OF OPTICAL COHERENCE TOMOGRAPHIC DATA PRIOR TO SEGMENTATION