Super-Resolution Optical Coherence Tomography Using Diffusion Model-Based Plug-and-Play Priors
On the map: Diffusion models → Medical imaging and segmentation
Abstract (arXiv)
We propose an OCT super-resolution framework based on a plug-and-play diffusion model (PnP-DM) to reconstruct high-quality images from sparse measurements (OCT B-mode corneal images). Our method formulates reconstruction as an inverse problem, combining a diffusion prior with Markov chain Monte Carlo sampling for efficient posterior inference. We collect high-speed under-sampled B-mode corneal images and apply a deep learning-based up-sampling pipeline to build realistic training pairs. Evaluations on in vivo and ex vivo fish-eye corneal models show that PnP-DM outperforms conventional 2D-UNet baselines, producing sharper structures and better noise suppression. This approach advances high-fidelity OCT imaging in high-speed acquisition for clinical applications.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Placed in Medical imaging and segmentation, one of 14 directions in Diffusion models. Builds on 17 of its 29 references that are in the map. First posted on arXiv 20 May 2025.
Builds on
17 of 29 references.
References · 17
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5 more
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Built on by
Citing papers per year: 2025: 1; 2026: 2.
3 papers.
- 2025PSI3D: Plug-and-Play 3D Stochastic Inference with Slice-wise Latent Diffusion Priorcited by 3
- 2026End-to-end reconstruction of OCT optical properties and speckle-reduced structural intensity via physics-based learningcited by 0
- 2026Physics-based generation of multilayer corneal OCT data via Gaussian modeling and MCML for AI-driven diagnostic and surgical guidance applicationscited by 0
- 2026Physics-based generation of multilayer corneal OCT data via Gaussian modeling and MCML for AI-driven diagnostic and surgical guidance applications2 Feb 2026
- 2026End-to-end reconstruction of OCT optical properties and speckle-reduced structural intensity via physics-based learning2 Feb 2026
- 2025PSI3D: Plug-and-Play 3D Stochastic Inference with Slice-wise Latent Diffusion Prior20 Dec 2025
Similar, not cited
Close in wording, no citation either way
- 2026Super-Resolution and Denoising of Corneal B-Scan OCT Imaging Using Diffusion Model Plug-and-Play Priors
- 2024Memory-efficient High-resolution OCT Volume Synthesis with Cascaded Amortized Latent Diffusion Models
- 2022Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model
- 2023Retinal OCT Synthesis with Denoising Diffusion Probabilistic Models for Layer Segmentation
- 2024Conditioning 3D Diffusion Models with 2D Images: Towards Standardized OCT Volumes through En Face-Informed Super-Resolution
- 2025GARD: Gamma-based Anatomical Restoration and Denoising for Retinal OCT
- 2025Deep Generative Models for Enhanced Vitreous OCT Imaging
- 2026DualDiT: A Conditional Dual-Output Diffusion Transformer for Joint OCT Image and Segmentation Mask Generation