Augmented reality-based contextual guidance through surgical tool tracking in neurosurgery

IEEE Transactions of Visualization and Computer Graphics (TVCG)

Sangjun Eom, Seijung Kim, Joshua Jackson, David Sykes, Shervin Rahimpour, Maria Gorlatova

Digital twin brain model with overlaid simulation data and labeled pathways.

Summary

External ventricular drain (EVD) is a common, yet challenging neurosurgical procedure of placing a catheter into the brain ventricular system that requires prolonged training for surgeons to improve the catheter placement accuracy. In this article, we introduce NeuroLens, an Augmented Reality (AR) system that provides neurosurgeons with guidance that aids them in completing an EVD catheter placement. NeuroLens builds on prior work in AR-assisted EVD to present a registered hologram of a patient’s ventricles to the surgeons, and uniquely incorporates guidance on the EVD catheter’s trajectory, angle of insertion, and distance to the target. The guidance is enabled by tracking the EVD catheter. We evaluate NeuroLens via a study with 33 medical students and 9 neurosurgeons, in which we analyzed participants’ EVD catheter insertion accuracy and completion time, eye gaze patterns, and qualitative responses. Our study, in which NeuroLens was used to aid students and surgeons in inserting an EVD catheter into a realistic phantom model of a human head, demonstrated the potential of NeuroLens as a tool that will aid and educate novice neurosurgeons. On average, the use of NeuroLens improved the EVD placement accuracy of the year 1 students by 39.4%, of the year 2−4 students by 45.7%, and of the neurosurgeons by 16.7%. Furthermore, students who focused more on NeuroLens-provided contextual guidance achieved better results, and novice surgeons improved more than the expert surgeons with NeuroLens’s assistance.

Citation

Eom, Sangjun, et al. “Augmented reality-based contextual guidance through surgical tool tracking in neurosurgery.” IEEE Transactions on Visualization and Computer Graphics (2024).

BibTex

@article{eom2024augmented, title={Augmented reality-based contextual guidance through surgical tool tracking in neurosurgery}, author={Eom, Sangjun and Kim, Seijung and Jackson, Joshua and Sykes, David and Rahimpour, Shervin and Gorlatova, Maria}, journal={IEEE Transactions on Visualization and Computer Graphics}, year={2024}, publisher={IEEE} }

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