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Proceedings Paper

Trajectory planning method for reduced patient risk in image-guided neurosurgery: concept and preliminary results
Author(s): Reuben R. Shamir; Leo Joskowicz; Luca Antiga; Roberto I. Foroni; Yigal Shoshan
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Paper 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.

Paper Details

Date Published: 23 February 2010
PDF: 8 pages
Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 76250I (23 February 2010); doi: 10.1117/12.843991
Show Author Affiliations
Reuben R. Shamir, The Hebrew Univ. of Jerusalem (Israel)
Leo Joskowicz, The Hebrew Univ. of Jerusalem (Israel)
Luca Antiga, Mario Negri Institute for Pharmacological Research (Italy)
Roberto I. Foroni, Verona Univ. Hospital (Italy)
Yigal Shoshan, Hadassah Univ. Hospital (Israel)


Published in SPIE Proceedings Vol. 7625:
Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling
Kenneth H. Wong; Michael I. Miga, Editor(s)

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