A method for planning safe trajectories in image-guided keyhole neurosurgery

Authors:
Reuben R. Shamir;Idit Tamir;Elad Dabool;Leo Joskowicz;Yigal Shoshan
Affiliations:
School of Engineering and Computer Science, The Hebrew University, Jerusalem, Israel;Dept. of Neurosurgery, Hebrew University Hadassah Medical Center, Jerusalem, Israel;School of Engineering and Computer Science, The Hebrew University, Jerusalem, Israel;School of Engineering and Computer Science, The Hebrew University, Jerusalem, Israel;Dept. of Neurosurgery, Hebrew University Hadassah Medical Center, Jerusalem, Israel
Venue:
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part III
Year:
2010

Citing 4
Cited 3

A path-planning algorithm for image-guided neurosurgery

CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
Automatic target and trajectory identification for deep brain stimulation (DBS) procedures

MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Automatic trajectory planning for deep brain stimulation: a feasibility study

MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
A 3-D visualization method for image-guided brain surgery

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Automatic trajectory planning of DBS neurosurgery from multi-modal MRI datasets

MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Biopsy Planner – Visual Analysis for Needle Pathway Planning in Deep Seated Brain Tumor Biopsy

Computer Graphics Forum
Technical note: Uncertain lines and circles with dependencies

Computer-Aided Design

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a new preoperative planning method for reducing the risk associated with insertion of straight tools in image-guided keyhole neurosurgery. The method quantifies the risks of multiple candidate trajectories and presents them on the outer head surface to assist the neurosurgeon in selecting the safest path. The surgeon can then define and/or revise the trajectory, add a new one using interactive 3D visualization, and obtain a quantitative risk measures. 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 results on five targets show a significant reduction in trajectory risk and a shortening of the preoperative planning time as compared to the current routine method.