Towards Markerless Intraoperative Tracking of Deformable Spine Tissue
Journal:
arXiv
Published Date:
Jun 30, 2025
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.
