The document describes an image-based guidance system consisting of mechanical hardware and a web application to help neurosurgeons plan and perform minimally invasive brain surgeries. The web application allows surgeons to create 3D models from patient scans, plan entry points and surgical paths, and generate customized masks for surgical guidance. The mechanical hardware provides accurate positioning within 2mm and incorporates features like locks and springs for stability and mobility within sterile operating fields. Testing results met specifications for accuracy, with the goal of reducing surgery time, costs from dedicated imaging systems, and increasing accessibility of neurosurgery procedures.

1. Image-Based Guidance System
for Intracranial Neurosurgery
Background
•Problem:
Neurosurgery is complicated, expensive, and not
fully accessible
•Plan:
Create a two-part image guidance system consist-
ing of mechanical hardware and a web application
•Function:
Will help neurosurgeons plan and perform mini-
mally invasive and cost/time efficient surgeries
Design for Mask
Make a web-based application for a previously
developed 3D image rendering program
• Program will creates a customized mask for the
patient
• Mask used to mark entry point
Web Based Interface
To improve timeliness and accessibility
of planning intracranial neurosurgeries,
final product has the following features:
• Web accessibility
• 2 GB file size
• Create 3D model using CT/MRI Scans
• Plan entry point, trajectory, and target points
• Generate mask to 3D print
Hardware
Specifications:
• Increase degrees of freedom and mobility
• Pneumatic locks securely and hands-free, and
withstands incidental forces
• Maintains standard accuracy of 2 mm
• Compatible with sterile field
Features:
• Stacks of washers and lock washers
• Silicone tubing
• Wave springs
• Threaded ball (2)
• Titanium threaded rod
• Stainless steel enclosure
• Probe holder
Results
Results meet customer specifications for accuracy.
Medhut Alnadi, Emily Churchwell, Irene Freire, Samantha Shuhala,
Matt Thrush. Dr. Scott Banks, PhD, Dr. Frank, Bova, PhD
University of Florida Department of Neurosurgery
Conclusion
• Will reduce operation time
• Eliminate the need for image-guied
systems (save money)
• Make neurosurgery more accessibleAverage error (mm) : (1.6 ± 0.43, 1.15 ± 0.37, 0.6 ± 0.4)
April 2015