Towards Markerless Intraoperative Tracking of Deformable Spine Tissue

• URL: http://arxiv.org/abs/2506.23657v2
• Date: Tue, 01 Jul 2025 13:42:56 GMT
• Title: Towards Markerless Intraoperative Tracking of Deformable Spine Tissue
• Authors: Connor Daly, Elettra Marconi, Marco Riva, Jinendra Ekanayake, Daniel S. Elson, Ferdinando Rodriguez y Baena,
• Abstract summary: This paper introduces the first real-world clinical RGB-D dataset for spine surgery.<n>We develop SpineAlign, a system for capturing deformation between preoperative and intraoperative spine states.
• Score: 30.929300836856285
• License: http://creativecommons.org/licenses/by/4.0/
• 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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