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Objective
This study evaluates the precision of a commercially available spine planning software in automatic spine labelling and screw‐trajectory proposal.
Methods
The software uses automatic segmentation and registration of the vertebra to generate screw proposals. 877 trajectories were compared. Four neurosurgeons assessed suggested trajectories, performed corrections, and manually planned pedicle...
Background
Two‐dimensional (2D)‐3D registration is challenging in the presence of implant projections on intraoperative images, which can limit the registration capture range. Here, we investigate the use of deep‐learning‐based inpainting for removing implant projections from the X‐rays to improve the registration performance.
Methods
We trained deep‐learning‐based inpainting models that can fill...
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