ArticleThe international journal of medical robotics + computer assisted surgery : MRCAS2025
Autonomous Establishment of CT-Independent Sections to Obtain Optimum Pedicle-Screw Axis in Direction, Length, and Safety Margin.
Article in The international journal of medical robotics + computer assisted surgery : MRCAS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Autonomous Frameless Spine Registration and Robot-Assisted Surgery.Orthopaedic surgery · 2026Article
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Authors and funding
4 authors.
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Abstract
backgroundAccurate perception of pedicle geometry during pedicle-screw placement surgery is critically important because the margin-for-error is small.
methodAn assessment algorithm is developed to provide machine-independent MultiPlanar Reconstruction (MiMPR) of the pedicle. The reconstruction is independent of the CT-machine frame and enhances patient data portability. Additionally, the algorithm obtains the pedicle-screw axis with optimum direction, length, and margin using MPRs. A method for the autonomous identification of four body features to form a CT-independent vertebral frame, {V}, in the image space is formulated.
resultApplied to 200 high-resolution CT images, the approach achieved a 100% success rate in defining the pedicle-medial axis and maximum screw diameter considering the safety margin of 2 mm.
conclusionsThe method eliminates subjective assessment. It provides objective assessment in determining the pedicle-medial axis with optimal direction and margin without human annotation. Additionally, it significantly enhances screw placement accuracy in robot-assisted spinal fusion surgeries, regardless of vertebra orientation.
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