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arXiv

TG-OT matches features on a topological cylinder via unbalanced optimal transport, achieving fully automatic segmentation-free CCTA-IVUS registration on 47 paired cases (Dicectl=0.99, Sc=0.96, DiceL=0.69)

The work proposes TG-OT, a fully automatic CCTA-IVUS registration framework: lightweight CNNs first predict calcifications, bifurcations, and lumen radii on the topological (θ, z) cylinder (with the IVUS network additionally detecting guidewire artifacts), and the frozen detectors are then integrated directly into a differentiable registration pipeline that optimizes centerline warping parameters driven by an unbalanced Sinkhorn optimal transport loss on the cylindrical geometry plus a Dice term, complemented by a lumen radius matching term; on N=47 paired CCTA-IVUS cases from the IMPACT study at Erasmus University Medical Center in a 5-fold cross-validation setup, it reaches longitudinal Dicectl=0.99, rotational Sc=0.96, and lumen DiceL=0.