Modality-agnostic self-supervised deep feature learning and fast instance optimisation for multimodal fusion in ultrasound-guided interventions

•We propose a fast self-supervised deep learning based registration framework for multi-modal medical 3D registration in ultrasound-guided interventions.•First deep learning model that achieves state-of-the-art accuracy of only 2.50mmtarget registration error on challenging alignment task in only 3...

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Veröffentlicht in:Computer methods and programs in biomedicine 2021-11, Vol.211, p.106374-106374, Article 106374
Hauptverfasser: Ha, In Young, Heinrich, Mattias P.
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Sprache:eng
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