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.
|Original language||American English|
|Title of host publication||Medical Imaging 2010|
|Subtitle of host publication||Visualization, Image-Guided Procedures, and Modeling|
|Editors||Kenneth H. Wong, Michael I. Miga|
|State||Published - 2010|
|Event||Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling - San Diego, United States|
Duration: 14 Feb 2010 → 16 Feb 2010
|Name||Progress in Biomedical Optics and Imaging - Proceedings of SPIE|
|Conference||Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling|
|Period||14/02/10 → 16/02/10|
Bibliographical noteFunding Information:
This study is supported by the ROBOCAST project, EU contract FP7-ICT-215190.
© 2010 SPIE.
- Image-guided therapy
- Neurosurgical procedure
- Therapy planning