Trajectory planning method for reduced patient risk in image-guided neurosurgery: concept and preliminary results

Reuben R. Shamir; Leo Joskowicz; Luca Antiga; Roberto I. Foroni; Yigal Shoshan

doi:10.1117/12.843991

23 February 2010 Trajectory planning method for reduced patient risk in image-guided neurosurgery: concept and preliminary results

Reuben R. Shamir, Leo Joskowicz, Luca Antiga, Roberto I. Foroni, Yigal Shoshan

Author Affiliations +

Proceedings Volume 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling; 76250I (2010) https://doi.org/10.1117/12.843991
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

We present a new preoperative planning method to quantify and help reduce the risk associated with needle and tool insertion trajectories in image-guided keyhole neurosurgery. The goal is to quantify the risk of a proposed straight trajectory, and/or to find the trajectory with the lowest risk to nearby brain structures based on pre-operative CT/MRI images. The method automatically computes the risk associated with a given trajectory, or finds the trajectory with the lowest risk to nearby brain structures based on preoperative image segmentation and on a risk volume map. The surgeon can revise the suggested trajectory, add a new one using interactive 3D visualization, and obtain a quantitative risk measure. The trajectory risk is evaluated based on the tool placement uncertainty, on the proximity of critical brain structures, and on a predefined table of quantitative geometric risk measures. Our preliminary results on a clinical dataset with eight targets show a significant reduction in trajectory risk and a shortening of the preoperative planning time as compared to the conventional method.

Citation Download Citation

Reuben R. Shamir, Leo Joskowicz, Luca Antiga, Roberto I. Foroni, and Yigal Shoshan "Trajectory planning method for reduced patient risk in image-guided neurosurgery: concept and preliminary results", Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 76250I (23 February 2010); https://doi.org/10.1117/12.843991

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