京都大学 · 医学
Uji教授の研究室では、眼の微小循環や網膜・眼瞼の構造的変化を高精度に可視化するためのOCT（光学干渉断層撮影）技術の応用に注力しています。特に、OCTA（OCTアンビリカル血管造影）を用いた画像品質向上技術や、深層学習を活用したノイズ低減法の開発が進んでいます。また、糖尿病性網膜症における光受容体層の構造変化や、難治性眼疾患の炎症活動の評価にも応用を広げており、臨床的応用に直結する研究が特徴です。
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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