Elastic Registration of Geodesic Vascular Graphs
Stefano Moriconi, Maria A. Zuluaga, H. Rolf Jager, Parashkev Nachev,, Sebastien Ourselin, and M. Jorge Cardoso

TL;DR
This paper introduces a novel 3D elastic registration method for vascular graphs that aligns complex networks without relying on anatomical priors, enabling improved clinical analysis.
Contribution
It presents an end-to-end registration approach using overconnected geodesic graphs and advanced graph matching, advancing vascular network analysis.
Findings
Successful registration on synthetic and real angiography data
Potential for improved clinical vascular analysis
No anatomical priors needed for alignment
Abstract
Vascular graphs can embed a number of high-level features, from morphological parameters, to functional biomarkers, and represent an invaluable tool for longitudinal and cross-sectional clinical inference. This, however, is only feasible when graphs are co-registered together, allowing coherent multiple comparisons. The robust registration of vascular topologies stands therefore as key enabling technology for group-wise analyses. In this work, we present an end-to-end vascular graph registration approach, that aligns networks with non-linear geometries and topological deformations, by introducing a novel overconnected geodesic vascular graph formulation, and without enforcing any anatomical prior constraint. The 3D elastic graph registration is then performed with state-of-the-art graph matching methods used in computer vision. Promising results of vascular matching are found using…
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