Title
A Comparative Statistical Error Analysis of Neuronavigation Systems in a Clinical Setting
Abstract
The use of neuronavigation (NN) in neurosurgery has become ubiquitous. A growing number of neurosurgeons are utilizing NN for a wide variety of purposes, including optimizing the surgical approach (macrosurgery) and locating small areas of interest (microsurgery). The goal of our team is to apply rapid advances in hardware and software technology to the field of NN, challenging and ultimately updating current NN assumptions. To identify possible areas in which new technology may improve the surgical applications of NN, we have assessed the accuracy of neuronavigational measurements in the RadionicsTM and BrainLabTM systems. Using a phantom skull, we measured the accuracy of the navigational systems, taking a total of 2616 measurements. We found that, despite current NN tenets, the six marker count does not yield optimal accuracy in either system, and the spreaded marker setting yields best accuracy in both systems. Placing fewer markers around the region of interest (ROI) minimizes registration error, and active tracking does not necessarily increase accuracy. Comparing the two systems, we also found that accuracy of NN machines differs both overall and in different axes. As researchers continue to apply technological advances to the NN field, an increasing number of currently held tenets will be revised, making NN an even more useful neurosurgical tool.
Year
DOI
Venue
2000
10.1007/978-3-540-40899-4_15
MICCAI
Keywords
Field
DocType
neuronavigation systems,comparative statistical error analysis,clinical setting,region of interest
Computer vision,Software technology,Computer science,Imaging phantom,Artificial intelligence,Region of interest,Neuronavigation
Conference
Volume
ISSN
ISBN
1935
0302-9743
3-540-41189-5
Citations 
PageRank 
References 
0
0.34
1
Authors
7
Name
Order
Citations
PageRank
H. Abbasi100.34
Salim Hariri22593184.23
D. Martin331.22
D. Kim400.68
John Adler572.26
G. Steinberg662.22
Ramin Shahidi714914.55