通过可微渲染实现双视角血管造影图像的3D/2D配准，助力脑血流分析。
3D/2D Registration of Angiograms using Silhouette-based Differentiable Rendering
- 基于轮廓的可微渲染，融合前后与侧位双视角图像进行姿态估计
- 在真实与合成数据上均验证了配准精度，支持临床应用潜力
- 适用于神经介入手术导航与血管结构重建场景
我们提出一种用于数字减影血管造影（DSA）图像的3D/2D配准方法，旨在为脑血流动力学和血管解剖结构提供重要洞察。该方法将配准问题建模为姿态估计任务，同时利用前后位和侧位两组DSA视图，并引入可微渲染技术。在真实与合成数据集上的初步实验表明，该方法具有良好的有效性；定性与定量评估均凸显其在临床应用中的潜力。代码已公开于 https://github.com/taewoonglee17/TwoViewsDSAReg。
原文摘要 · Abstract (English)
We present a method for 3D/2D registration of Digital Subtraction Angiography (DSA) images to provide valuable insight into brain hemodynamics and angioarchitecture. Our approach formulates the registration as a pose estimation problem, leveraging both anteroposterior and lateral DSA views and employing differentiable rendering. Preliminary experiments on real and synthetic datasets demonstrate the effectiveness of our method, with both qualitative and quantitative evaluations highlighting its potential for clinical applications. The code is available at https://github.com/taewoonglee17/TwoViewsDSAReg.
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