VeCAS:面向血管介入的聚焦血管的无造影剂血管造影合成
VeCAS: Vessel-Focused Contrast-Free Angiogram Synthesis for Vascular Interventions
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中文总结 AI 辅助
本文提出VeCAS框架,通过两阶段合成实现无造影剂血管造影,在下肢数据集实验中优于对比方法,还可缩短机器人导丝导航的时间与步骤,具临床应用潜力。
中文摘要 AI 辅助
X射线血管造影依赖含碘造影剂在影像引导介入手术中可视化血管结构,但造影剂使用存在不良事件风险,推动了无造影剂替代方案的研发。直接从非造影X射线图像生成X射线血管造影是潜在解决方案,但现有方法存在两个局限:一是对血管定位的控制不足,二是对冗余背景内容的建模效率低下。为应对这些挑战,本文提出VeCAS,一种两阶段聚焦血管的无造影剂血管造影合成框架,将血管结构定位与血管造影外观合成分离开来。第一阶段,采用判别模型在非造影X射线图像中定位血管结构,训练期间通过跨模态潜蒸馏从X射线血管造影中迁移血管敏感知识。第二阶段,采用聚焦血管的修复模型在已定位的血管区域内合成血管造影外观,同时保留非血管背景。对内部下肢血管介入数据集的实验显示,VeCAS在血管结构保真度和图像质量方面优于对比方法;视觉图灵测试和医师评估表明合成血管造影具有感知真实性。此外,血管体模中的机器人导丝导航实验显示,与非造影引导相比,VeCAS引导将到达目标的时间缩短了41.4%,操作步骤数减少了40.7%。这些结果共同表明,VeCAS有潜力作为血管介入的“元造影剂”发挥作用。
英文摘要
X-ray angiography relies on iodinated contrast agents to visualize vascular structures during image-guided interventions. However, contrast administration carries risks of adverse events, motivating the development of contrast-free alternatives. Generating X-ray angiograms directly from non-contrast X-ray images offers a potential solution, but existing approaches remain limited by (i) insufficient control over vascular localization and (ii) inefficient modeling of redundant background content. To address these challenges, we propose VeCAS, a two-stage vessel-focused contrast-free angiogram synthesis framework that separates vascular structure localization from angiographic appearance synthesis. In Stage I, a discriminative model localizes vascular structures in non-contrast X-ray images, while cross-modality latent distillation transfers vessel-sensitive knowledge from X-ray angiograms during training. In Stage II, a vessel-focused inpainting model synthesizes angiographic appearance within the localized vascular regions while preserving the non-vascular background. Experiments on an in-house lower-limb vascular intervention dataset show that VeCAS outperforms the comparison methods in terms of vascular structural fidelity and image quality. Visual Turing tests and physician assessments indicate the perceptual realism of the synthesized angiograms. In addition, robotic guidewire navigation experiments in vascular phantoms show that VeCAS guidance reduces the time to target by 41.4% and the number of operation steps by 40.7% compared with non-contrast guidance. Together, these results suggest the potential of VeCAS to serve as ``meta contrast agent'' for vascular interventions.
发表机构
- Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所)
- University of Chinese Academy of Sciences(中国科学院大学)
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