Sensor-driven digital motion correction of robotically-aligned optical coherence tomography retinal volumes

• DOI: 10.1364/boe.551186
• Publication Date: 2025-02-27T07:00:22Z
• Authors: Pablo Ortiz; Amit Narawane; Ryan P. McNabb; Anthony N. Kuo; Joseph A. Izatt; Mark Draelos

Optical coherence tomography (OCT) has revolutionized diagnostics in retinal ophthalmology. Traditional OCT requires minimal relative motion between the subject and scanner, which is difficult to achieve with handheld devices and/or non-stabilized subjects. We recently introduced robotically-aligned (RAOCT) as an alternative that promises alleviate these minimal-movement requirements by tracking compensating for their dynamic hardware components real-time. However, image processing delays lead residual artifacts even after automatic alignment compensation. Here, we introduce a novel sensor-driven digital correction approach overcomes shortcomings. Our method leverages synchronized sensing of both subject's eye scanner continuously estimate imaging system state during acquisition. The A-scans are then remapped using ray-tracing model at precise moment demonstrate that, addition compensation from RAOCT, our further reduces 88.3 %, 80.4 62.6 % across axial, lateral, rotational motions, respectively. also show human images where errors acquisition were reduced down 12.4 µm, 0.11°, 0.39° motion,