Abstract
Time-domain full-field OCT (FF-OCT) represents an imaging modality capable of recording high-speed en-face sections of a sample at a given depth. One of the biggest challenges to transfer this technique to image in-vivo human retina is the presence of continuous involuntary head and eye axial motion during image acquisition. In this paper, we demonstrate a solution to this problem by implementing an optical stabilization in an FF-OCT system. This was made possible by combining an FF-OCT system, an SD-OCT system, and a high-speed voice-coil translation stage. B-scans generated by the SD-OCT were used to measure the retina axial position and to drive the position of the high-speed voice coil translation stage, where the FF-OCT reference arm is mounted. Closed-loop optical stabilization reduced the RMS error by a factor of 7, significantly increasing the FF-OCT image acquisition efficiency. By these means, we demonstrate the capacity of the FF-OCT to resolve cone mosaic as close as 1.5 o from the fovea center with high consistency and without using adaptive optics.
Highlights
Optical Coherence Tomography (OCT) has become a gold standard for living human retinal imaging in the clinical environment [1,2]
One of the biggest challenges of time-domain full-field OCT (FF-OCT) when applied for in-vivo human retinal imaging is the presence of continuous involuntary head and eye axial motion
We presented a method to optically compensate for axial motion in real-time for time-domain FF-OCT
Summary
Optical Coherence Tomography (OCT) has become a gold standard for living human retinal imaging in the clinical environment [1,2]. Owing to its unprecedented axial resolution, OCT enables the diagnosis of retinal disorders at the earliest stages and monitoring of the progression of retinal diseases. While physicians are capable of interpreting tomographic retinal cross-sections from OCT, there is a demand for en-face views. OCT can produce en-face retinal images from 3-D stacks, it presents a low lateral resolution compared with Adaptive Optics (AO) ophthalmoscopes [3]. The commercialization and the clinical deployment of AO-OCT are still challenging, mainly because of cost, optical complexity, size and heavy image post-processing linked to the use of AO [6]
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