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US 10,094,649 B2Granted
Evaluation of optical coherence tomographic data prior to segmentation
AssigneeCarl Zeis Meditec, Inc.
InventorHomayoun Bagherinia
Life of this patent
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Abstract
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 is designed to be fast and efficient and is applied to determining autofocus of an OCT instrument real-time and in identifying a real image from its complex conjugate twin.
Claims16
An optical coherence tomography (OCT) system comprising:
- a light source for generating a beam of light;
- a splitting element for splitting the beam of light into reference and sample arms;
- optics for scanning the beam over an eye to collect a plurality of A-scans, each A-scan defining a scattering profile as a function of depth;
- a detector for receiving interfering light from the sample and reference arms and generating signals in response thereto;
- a display;
- and
- a processor for converting the signals into a dataset of A-scans, said processor dividing the A-scans into segments as a function of depth and determining one or more metrics for each segment of said A-scans that are correlated to the level of contrast found in each segment of said A-scans, the processor for classifying the segments of the A-scans according to the value or values of the determined one or more metrics and wherein the processor either:
- (a) generates and displays an image of the eye based in part on the classification of the segments of the A-scans;
- or
- (b) reaquires one or more A-scans based on the classification of the segments of the A-scans.
7 more elements
Dependencies are inferred from the claim text.