Name
Title | ||
|---|---|---|
Trajectory planning method for reduced patient risk in image-guided neurosurgery: concept and preliminary results |
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1117/12.843991 | Proceedings of SPIE |
Keywords | Field | DocType |
Image-Guided Therapy,Therapy Planning,Neurosurgical Procedure,Neuronavigation | Computer vision,Visualization,Computer science,Image segmentation,Artificial intelligence,Neurosurgery,Image-Guided Therapy,Risk measure,Trajectory,Trajectory planning,Neuronavigation | Conference |
Volume | ISSN | Citations |
7625 | 0277-786X | 3 |
PageRank | References | Authors |
0.46 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Reuben R Shamir | 1 | 78 | 7.47 |
| Leo Joskowicz | 2 | 656 | 110.91 |
| Luca Antiga | 3 | 207 | 18.36 |
| roberto foroni | 4 | 3 | 0.79 |
| Yigal Shoshan | 5 | 64 | 5.02 |