Papers › 3D/2D Registration of Angiograms using Silhouette-based Differentiable Rendering
3D/2D Registration of Angiograms using Silhouette-based Differentiable Rendering
Taewoong Lee, Sarah Frisken, Nazim Haouchine
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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