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UBone3D: Physics-Rectified Conditional Flow Matching for Anatomical 3D Shape Completion from Ultrasound

arxiv.org/abs/2609.11506

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Updated 2 h ago · first seen 11 Sept 2026

paper_01M294H25YYZFV9ZE1QG4WFB3G

Published
11 Sept 2026
T1 · 2 h ago
arXiv
2609.11506
T1 · 2 h ago
Category
cs.CV
T1 · 2 h ago

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Abstractabstract1

Claim history for Abstract
ValueValid from → toStatusSourceConfidenceExtractor
Three-dimensional ultrasound (US) is a safe, radiation-free complementary modality to CT and X-rays for longitudinal monitoring, yet its segmentation-derived partial point clouds are extremely artifact-laden. Consequently, it is challenging to recover a clean and complete anatomical structure from such US point clouds. In this paper, we present UBone3D, a novel framework based on physics-rectified conditional flow matching (CFM) that performs point cloud completion directly from partial US observations. UBone3D models deterministic physics artifacts (e.g., surface thickening, streaking, dropouts) via a simulated physics proxy, and introduces test-time physics rectification to steer the shape completion. At inference, the completion is jointly steered by two decoupled forces: (1) anatomical plausibility enforced by a CT-trained generative shape prior, BoneFM, and (2) physics consistency enforced by USimNet in the ultrasound formation space. Extensive experiments on simulated and in-vivo data demonstrate significant improvements in reconstruction accuracy and anatomical fidelity over existing baselines.currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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