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arXiv · 2506.23657

Towards Markerless Intraoperative Tracking of Deformable Spine Tissue

Connor Daly·Elettra Marconi·Marco Riva·Jinendra Ekanayake·Daniel S. Elson·Ferdinando Rodriguez y Baena
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Abstract

Consumer-grade RGB-D imaging for intraoperative orthopedic tissue tracking is a promising method with high translational potential. Unlike bone-mounted tracking devices, markerless tracking can reduce operating time and complexity. However, its use has been limited to cadaveric studies. This paper introduces the first real-world clinical RGB-D dataset for spine surgery and develops SpineAlign, a system for capturing deformation between preoperative and intraoperative spine states. We also present an intraoperative segmentation network trained on this data and introduce CorrespondNet, a multi-task framework for predicting key regions for registration in both intraoperative and preoperative scenes.

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Connor Daly, Elettra Marconi, Marco Riva, Jinendra Ekanayake, Daniel S. Elson, Ferdinando Rodriguez y Baena. 2025-06-30. Towards Markerless Intraoperative Tracking of Deformable Spine Tissue. https://arxiv.org/abs/2506.23657

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