High-contrast scleroconjunctival microvasculature via deep learning denoising.

Anterior segment optical coherence tomography angiography (AS-OCTA) is a newly developed technique for noninvasive imaging of blood flow, including the scleroconjunctival microvasculature and iris.[12] However, AS-OCTA images frequently have background noise because the OCTA devices were developed specially for retinal imaging. The left eye of a 45-year-old healthy individual of AS-OCTA image [Fig. 1a] provides a scleroconjunctival microvasculature with significant background noise. A high-contrast image [Fig. 1b and c] is produced by applying deep learning-based denoising method (Intelligent denoise, Canon, Inc, Tokyo, Japan).[3] Panoramic high-contrast AS-OCTA image [Fig. 1c] processed with deep learning-based denoising is useful to evaluate circumferential conjunctival vasculature.

Figure 1

Swept-source anterior segment-optical coherence tomography angiography (AS-OCTA) images (OCT S1: Canon, Inc, Tokyo, Japan). To visualize the conjunctival and deep scleral vessels, a 400-μm thick slab of the conjunctival surface was selected. Seven AS-OCTA images were used to reconstruct a panoramic image.

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The authors certify that they have obtained all appropriate patient consent forms. In the form the patient(s) has/have given his/her/their consent for his/her/their images and other clinical information to be reported in the journal. The patients understand that their names and initials will not be published and due efforts will be made to conceal their identity, but anonymity cannot be guaranteed.

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Conflicts of interest

There are no conflicts of interest.