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

被引:49
|
作者
Mercier, Laurence [1 ]
Del Maestro, Rolando F. [2 ]
Petrecca, Kevin [2 ]
Kochanowska, Anna [1 ]
Drouin, Simon [1 ]
Yan, Charles X. B. [1 ]
Janke, Andrew L. [3 ]
Chen, Sean Jy-Shyang [1 ]
Collins, D. Louis [1 ]
机构
[1] McGill Univ, Montreal Neurol Inst, McConnell Brain Imaging Ctr, Montreal, PQ, Canada
[2] McGill Univ, Montreal Neurol Hosp & Inst, Brain Tumour Res Ctr, Montreal, PQ, Canada
[3] Australian Natl Univ, Dept Geriatr Med, Canberra, SA, Australia
基金
加拿大健康研究院;
关键词
Application accuracy; Image-guided surgery; Intraoperative imaging; Intraoperative ultrasound; Neuronavigation; Registration; BRAIN-SHIFT; 3-D ULTRASOUND; 3D ULTRASOUND; GUIDED NEUROSURGERY; TUMOR RESECTION; 3-DIMENSIONAL ULTRASOUND; REGISTRATION; CALIBRATION; MRI; ACCURACY;
D O I
10.1007/s11548-010-0535-3
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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: 1.77mm and 1.65mm for the bottom corners of the ultrasound image, 2) point reconstruction precision 0.62-0.90mm: and 3) point reconstruction accuracy: 0.49-0.74mm. 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 +/- 1.1mm. 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.
引用
收藏
页码:507 / 522
页数:16
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