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Paper · arXiv

Echo-POSED: Geometric Self-Distillation for Echocardiography Guidance

We introduce Echo-POSED, a self-supervised framework for real-time transthoracic echocardiography (TTE) guidance that recommends probe adjustments directly from 2D ultrasound images, without the need for expert-labelled views or tracked probe trajectories. Instead, it trains on 2D views sliced from routinely acquired 3D echocardiography volumes, enforcing equivariance to probe motions while remaining invariant to cardiac phase, yielding a pose representation on $\mathrm{SO}(3)\times\mathrm{SO}(3)$. Across a held-out split and public external 3D--TTE datasets (including vendor shift), Echo-POSED maintains geometric consistency under virtual perturbations and enables intra- and inter-patien...

AuthorsElias Stenhede, Edvart Grüner Bjerke, Joanna Sulkowska et al.
Primary categoryeess.IV
Published30 May 2026
Last updated at source30 May 2026
eess.IVcs.AI
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