New prototype neuronavigation system based on preoperative imaging and intraoperative freehand ultrasound: system description and validation

Mercier, Laurence, Del Maestro, Rolando F., Petrecca, Kevin, Kochanowska, Anna, Drouin, Simon, Yan, Charles X. B., Janke, Andrew L., Chen, Sean Jy-Shyang and Collins, D. Louis (2011) New prototype neuronavigation system based on preoperative imaging and intraoperative freehand ultrasound: system description and validation. International Journal of Computer Assisted Radiology and Surgery, 6 4: 507-522. doi:10.1007/s11548-010-0535-3


Author Mercier, Laurence
Del Maestro, Rolando F.
Petrecca, Kevin
Kochanowska, Anna
Drouin, Simon
Yan, Charles X. B.
Janke, Andrew L.
Chen, Sean Jy-Shyang
Collins, D. Louis
Title New prototype neuronavigation system based on preoperative imaging and intraoperative freehand ultrasound: system description and validation
Journal name International Journal of Computer Assisted Radiology and Surgery   Check publisher's open access policy
ISSN 1861-6410
1861-6429
Publication date 2011-07-01
Year available 2010
Sub-type Article (original research)
DOI 10.1007/s11548-010-0535-3
Volume 6
Issue 4
Start page 507
End page 522
Total pages 16
Place of publication Heidelberg, Germany
Publisher Springer
Collection year 2012
Language eng
Formatted abstract
Purpose: The aim of this report is to present IBIS (Interactive Brain Imaging System) NeuroNav, a new prototype neuronavigation system that has been developed in our research laboratory over the past decade that uses tracked intraoperative ultrasound to address surgical navigation issues related to brain shift. The unique feature of the system is its ability, when needed, to improve the initial patient-to-preoperative image alignment based on the intraoperative ultrasound data. Parts of IBIS Neuronav source code are now publicly available on-line.

Methods:
Four aspects of the system are characterized in this paper: the ultrasound probe calibration, the temporal calibration, the patient-to-image registration and the MRI-ultrasound registration. In order to characterize its real clinical precision and accuracy, the system was tested in a series of adult brain tumor cases.

Results: Three metrics were computed to evaluate the precision and accuracy of the ultrasound calibration. 1) Reproducibility: 1.77 mm and 1.65 mm for the bottom corners of the ultrasound image, 2) point reconstruction precision 0.62-0.90 mm: and 3) point reconstruction accuracy: 0.49-0.74 mm. The temporal calibration error was estimated to be 0.82 ms. The mean fiducial registration error (FRE) of the homologous-point-based patient-to-MRI registration for our clinical data is 4.9 ± 1.1 mm. After the skin landmark-based registration, the mean misalignment between the ultrasound and MR images in the tumor region is 6.1 ± 3.4 mm.

Conclusions:
The components and functionality of a new prototype system are described and its precision and accuracy evaluated. It was found to have an accuracy similar to other comparable systems in the literature.
Keyword Application accuracy
Image-guided surgery
Intraoperative imaging
Intraoperative ultrasound
Neuronavigation
Registration
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status Non-UQ
Additional Notes Published online: 1 October 2010

Document type: Journal Article
Sub-type: Article (original research)
Collections: Non HERDC
Centre for Advanced Imaging Publications
 
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