发表机构
Tsinghua Shenzhen International Graduate School（清华大学深圳国际研究生院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出首个超广角SS-OCTA血管分割数据集WOIVES（206只眼），并设计极坐标门控Mamba网络PG-Mamba，在分割指标上优于七种方法，实现精确的定量血管分析。
AI 中文摘要
超广角（UWF）扫频源光学相干断层扫描血管成像（SS-OCTA）能够实现大范围视网膜血管成像，然而在此尺度下的血管分割缺乏专用的公共基准和用于定量血管分析的综合评估。我们引入了WOIVES，据我们所知，这是首个公开可用的UWF SS-OCTA血管分割数据集，包含来自152名参与者的206只眼睛，视野为24x20mm^2。WOIVES涵盖从正视到高度近视的范围，并提供软概率血管标注。我们进一步提出了PG-Mamba，一种视觉状态空间模型，通过两种互补的极坐标扫描顺序增强了传统的方向性扫描。一个辅助的动态视野门控模块在瓶颈处执行空间调制。在交叉验证下，PG-Mamba在广泛的分割指标上优于七种竞争方法。它在血管密度、分形维数和血管长度密度方面取得了最低的中位绝对误差。WOIVES可在Zenodo上公开获取（DOI: https://doi.org/10.5281/zenodo.21904672），PG-Mamba代码可在该https URL获取。
英文摘要
Ultra-widefield (UWF) swept-source optical coherence tomography angiography (SS-OCTA) enables large-area retinal vascular imaging, yet vessel segmentation at this scale lacks dedicated public benchmarks and comprehensive evaluation for quantitative vascular analysis. We introduce WOIVES, to our knowledge the first publicly available UWF SS-OCTA vessel-segmentation dataset, comprising 206 eyes from 152 participants with a 24x20mm^2 field of view. WOIVES spans emmetropia to high myopia and provides soft probability vessel annotations. We further propose PG-Mamba, a visual state space model that enhances conventional directional scans with two complementary polar-coordinate scan orders. An auxiliary Dynamic FOV Gating module performs spatial modulation at the bottleneck. PG-Mamba outperformed seven competitive approaches on broad segmentation metrics under cross-validation. It achieved the lowest median absolute errors for vessel density, fractal dimension, and vessel length density. WOIVES is publicly available on Zenodo (DOI: 10.5281/zenodo.21904672), and the PG-Mamba code is available at https://github.com/syb1234567/PG-Mamba.
CommentsSubmitted to IEEE Journal of Biomedical and Health Informatics. Under review
