3D/2D model-to-image registration by imitation learning for cardiac procedures

International Journal of Computer Assisted Radiology and Surgery
Daniel TothPeter Mountney

Abstract

In cardiac interventions, such as cardiac resynchronization therapy (CRT), image guidance can be enhanced by involving preoperative models. Multimodality 3D/2D registration for image guidance, however, remains a significant research challenge for fundamentally different image data, i.e., MR to X-ray. Registration methods must account for differences in intensity, contrast levels, resolution, dimensionality, field of view. Furthermore, same anatomical structures may not be visible in both modalities. Current approaches have focused on developing modality-specific solutions for individual clinical use cases, by introducing constraints, or identifying cross-modality information manually. Machine learning approaches have the potential to create more general registration platforms. However, training image to image methods would require large multimodal datasets and ground truth for each target application. This paper proposes a model-to-image registration approach instead, because it is common in image-guided interventions to create anatomical models for diagnosis, planning or guidance prior to procedures. An imitation learning-based method, trained on 702 datasets, is used to register preoperative models to intraoperative X-ray ima...Continue Reading

References

Nov 11, 2003·IEEE Transactions on Medical Imaging·Kawal S RhodeReza Razavi
May 11, 2010·Medical Image Analysis·P MarkeljF Pernuš
Mar 31, 2016·Medical Image Analysis·Jinwoo ChoiGraham A Wright
Jul 6, 2017·IEEE Transactions on Medical Imaging·Peter MountneyKawal Rhode

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Citations

Feb 23, 2020·Radiology. Artificial Intelligence·Manuel A MoralesCiprian Catana
Aug 10, 2019·JACC. Cardiovascular Imaging·Geert LitjensIvana Išgum
Jan 14, 2021·Computer Methods and Programs in Biomedicine·Siyeop YoonDeukhee Lee
Apr 8, 2021·Journal of Nuclear Cardiology : Official Publication of the American Society of Nuclear Cardiology·Haipeng TangWeihua Zhou

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Methods Mentioned

BETA
X-ray

Software Mentioned

RMSProp
GI

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