Synthetic polarization-sensitive optical coherence tomography using contrastive unpaired translation.

ABSTRACT: Polarization-sensitive optical coherence tomography (PS-OCT) measures the polarization state of backscattered light from tissues and provides valuable insights into the birefringence properties of biological tissues. Contrastive unpaired translation (CUT) was used in this study to generate a synthetic PS-OCT image from a single OCT image. The challenges related to extensive data requirements relying on labeled datasets using only pixel-wise correlations that make it difficult to efficiently regenerate the periodic patterns observed in PS-OCT images were addressed. The CUT model captures birefringence patterns by leveraging patch-wise correlations from unpaired data, which allows learning of the underlying structural features of biological tissues responsible for birefringence. To demonstra

SUBMITTER: Le TD 

PROVIDER: S-EPMC11682212 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature