Same Branches, Different Trees: A Bifurcation Connectedness Metric for Coronary Artery Segmentation and FFR-CT Decision Agreement 文章

ArXiv CS.CV2026-07-31PAPERen作者: Maame Owusu-Ansah, Kelvin Lee, Dr Vinod Venugopal, Muhammad Moazzam Jawaid, Wenting Duan, James Brown

详细信息

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ArXiv CS.CV
作者
Maame Owusu-Ansah, Kelvin Lee, Dr Vinod Venugopal, Muhammad Moazzam Jawaid, Wenting Duan, James Brown
文章类型
PAPER
语言
en
发布日期
2026-07-31

摘要

arXiv:2607.28327v1 Announce Type: new Abstract: Fractional flow reserve derived from CT angiography (FFR-CT) simulates flow through a patient-specific vessel model, so its accuracy depends on the connectedness of the segmented tree, not only on volumetric overlap: a segmentation can reach high Dice yet sever a bifurcation, dropping the downstream subtree and reversing the treatment decision. Topology-aware losses such as clDice and Skeleton Recall act on the global centreline and can miss localised breaks. We study the Bifurcation Connectedness Score (BCS), which scores connectedness at each ground-truth bifurcation, and soft-BCS, its differentiable training surrogate. BCS captures a property of segmentation quality the standard metrics miss: it responds strongly to breaks in connectedness while staying largely unchanged under connectedness-preserving narrowing.

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