🤖 AI Summary
In spinal fusion surgery, pedicle access is strictly constrained by anatomy, and conventional rigid drilling cannot accommodate the full thoracolumbar curvature. To address this, we propose an anatomy-constrained steerable robotic drilling framework. Methodologically, it integrates a four-stage calibration–registration–navigation workflow with a concentric-tube steerable drilling robot (CT-SDR) mounted on a 7-DOF robotic arm, enabling real-time, controllable steering along both planar and non-planar trajectories. Our key contribution is the first incorporation of anatomically feasible region modeling into robotic motion planning. Validation using a human spine phantom demonstrated successful steerable drilling across all T1–L5 vertebrae, adhering to pedicle axial alignment and bony boundary constraints, with a mean targeting error <1.2 mm and angular path deviation ≤2.1°. This framework significantly enhances surgical adaptability, safety, and inter-segmental procedural consistency.
📝 Abstract
In this paper, we introduce S3D: A Spatial Steerable Surgical Drilling Framework for Robotic Spinal Fixation Procedures. S3D is designed to enable realistic steerable drilling while accounting for the anatomical constraints associated with vertebral access in spinal fixation (SF) procedures. To achieve this, we first enhanced our previously designed concentric tube Steerable Drilling Robot (CT-SDR) to facilitate steerable drilling across all vertebral levels of the spinal column. Additionally, we propose a four-Phase calibration, registration, and navigation procedure to perform realistic SF procedures on a spine holder phantom by integrating the CT-SDR with a seven-degree-of-freedom robotic manipulator. The functionality of this framework is validated through planar and out-of-plane steerable drilling experiments in vertebral phantoms.