Kyoto University · Medicine
Professor Akihito Uji's research lab specializes in ophthalmic imaging, particularly optical coherence tomography angiography (OCTA), with a focus on enhancing image quality and resolving microvascular structures in the retina and choroid. The lab investigates advanced imaging techniques such as multiple en face averaging and deep learning-based denoising to improve visualization of capillary networks and detect subtle pathological changes. Their work also extends to understanding retinal hemodynamics and structural alterations in diseases like diabetic macular edema and diffuse scleritis using high-resolution OCT imaging.
Figures are computed from collected data and may differ slightly.
Multiple en face averaging can improve visualization of the choriocapillaris on OCTA images, transforming the images from a granular appearance to a level where the intervascular spaces can be resolved in healthy volunteers.
Use of multiple image averaging in OCTA enface images was found to be both objectively and subjectively effective for enhancing image quality. These findings may of value for developing optimal OCTA imaging protocols for future studies.
The particles moving in the capillaries are suggested to be reflections of photoreceptor aggregates that pass through circulating transparent objects such as leukocytes or plasma gaps.
The deep learning denoising method achieved high speed and high quality OCTA imaging. This method may be a viable alternative to the multiple image averaging technique.
Parallelism has the potential to reflect structural changes of the photoreceptor layers in DME.
The swelling of diffuse scleritis occurred within the episclera rather than in the scleral stroma. Since optical coherence tomography visualises the morphology of the episclera and sclera, it can be useful for evaluating inflammation activity and therapeutic effects in diffuse scleritis.
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