mlsanityData to 14 Oct 2026

In Defense of OCTA: The Reconstruction-Utility Gap in OCT-to-OCTA Synthesis

arXiv 2608.15626 ↗First posted 16 Aug 2026cs.LGcited by 0

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Abstract (arXiv)

Optical coherence tomography angiography (OCTA) images retinal blood flow, giving capillary-perfusion and foveal-avascular-zone biomarkers that grade diabetic-retinopathy ischemia. Because OCTA hardware is less common than structural OCT, recent work synthesizes it from OCT, reporting strong reconstruction (3D PSNR > 31 dB, SSIM > 0.9). We ask not whether the synthetic image looks similar, but whether it supports the measurements OCTA is acquired for. A frozen real-OCTA segmenter, applied as a probe to two synthesizers (XOCT, TransPro), shows downstream Dice falling with structural fineness: large vessels survive (0.862 -> 0.831) while the fine capillary network collapses (0.798 -> 0.635, five times the large-vessel loss; paired Wilcoxon p < 1e-3), TransPro worse throughout. A matched-blur control shows this detail is fabricated, not blurred. Retrained on a private Spectralis dataset, neither synthesizer reproduces the neovascular lesion (qualitative, n=3). Reconstruction fidelity is not clinical utility; we establish downstream-task fidelity as the evaluation OCT-to-OCTA synthesis needs.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 10 of its 17 references that are in the map. First posted on arXiv 16 Aug 2026.

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10 of 17 references.

References · 10

  1. 2018Distribution Matching Losses Can Hallucinate Features in Medical Image Translationcited by 99
  2. 2020ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Modelcited by 78
  3. 2020OCTA-500: A Retinal Dataset for Optical Coherence Tomography Angiography Studycited by 52
  4. 2023Synthetic optical coherence tomography angiographs for detailed retinal vessel segmentation without human annotationscited by 17
  5. 2025Metrics that matter: Evaluating image quality metrics for medical image generationcited by 12
  6. 2025MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translationcited by 4
  7. 2024Quantitative Characterization of Retinal Features in Translated OCTAcited by 2
  8. 2025XOCT: Enhancing OCT to OCTA Translation via Cross-Dimensional Supervised Multi-Scale Feature Learningcited by 2
  9. 2026A Systematic Benchmark of Intraoperative Ultrasound-to-MR Synthesis for Brain Tumour Surgerycited by 2
  10. 2025Curvilinear Structure-preserving Unpaired Cross-domain Medical Image Translationcited by 1

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