Evaluation of retinal pigment epithelium changes in serous pigment epithelial detachment using synthesized multi-contrast polarization-sensitive optical coherence tomography

K Kosei Yanagida M Masahiro Miura H Hidetaka Noma T Toshihiro Mino S Shinnosuke Azuma T Thitiya Seesan S Shuichi Makita Y Yoshiaki Yasuno

Abstract

Abstract Retinal pigment epithelium (RPE) melanin thickness maps, derived from multi-contrast images—including the degree of polarization uniformity (DOPU), optical coherence tomography (OCT) angiography, and the attenuation coefficient—are obtained using multi-contrast polarization-sensitive OCT (PS-OCT). These maps have demonstrated utility for three-dimensional assessment of changes in melanin within the RPE (RPE-melanin). While both OCT angiography and the attenuation coefficient can be derived from conventional OCT, measuring the DOPU requires PS-OCT, which is not available on standard commercial OCT systems. To overcome this limitation, we utilized a convolutional neural network to generate DOPU-like images from standard OCT images and used these to calculate a synthesized RPE-melanin thickness map. We evaluated 22 eyes from 20 patients with serous pigment epithelial detachment (PED) secondary to age-related macular degeneration. Both original and synthesized RPE-melanin thickness maps were calculated from multi-contrast PS-OCT datasets. Active RPE lesions were defined as areas with RPE-melanin thickness of ≥ 70 μm (originalRPE70 and synRPE70 for the original and synthesized maps, respectively). Both synthesized and original RPE-melanin thickness maps closely resembled near-infrared autofluorescence imaging. Furthermore, both the originalRPE70 area and synRPE70 area were significantly positively correlated with the PED volume. Synthesized RPE-melanin thickness maps may be useful for clinical quantification of RPE-melanin.

Article Details

Volume / Issue Vol. 15, Issue 1
Published July 07, 2025
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (8)

K

Kosei Yanagida

M

Masahiro Miura

H

Hidetaka Noma

T

Toshihiro Mino

S

Shinnosuke Azuma

T

Thitiya Seesan

S

Shuichi Makita

Y

Yoshiaki Yasuno