Title | Intraoperative visualization and assessment of electromagnetic tracking error |
Publication Type | Conference Paper |
Year of Publication | 2015 |
Authors | Harish, V., Ungi T., Lasso A., MacDonald A., Nanji S., & Fichtinger G. |
Conference Name | SPIE Medical Imaging 2015 |
Volume | 9415 |
Pagination | 94152H-94152H-6 |
Conference Location | Orlando,FL, United States, Feb. 23, 2015 |
Abstract | Electromagnetic tracking allows for increased flexibility in designing image-guided interventions, however it is well understood that electromagnetic tracking is prone to error. Visualization and assessment of the tracking error should take place in the operating room with minimal interference with the clinical procedure. The goal was to achieve this ideal in an open-source software implementation in a plug and play manner, without requiring programming from the user. We use optical tracking as a ground truth. An electromagnetic sensor and optical markers are mounted onto a stylus device, pivot calibrated for both trackers. Electromagnetic tracking error is defined as difference of tool tip position between electromagnetic and optical readings. Multiple measurements are interpolated into the thin-plate B-spline transform visualized in real time using 3D Slicer. All tracked devices are used in a plug and play manner through the open-source SlicerIGT and PLUS extensions of the 3D Slicer platform. Tracking error was measured multiple times to assess reproducibility of the method, both with and without placing ferromagnetic objects in the workspace. Results from exhaustive grid sampling and freehand sampling were similar, indicating that a quick freehand sampling is sufficient to detect unexpected or excessive field distortion in the operating room. The software is available as a plug-in for the 3D Slicer platforms. Results demonstrate potential for visualizing electromagnetic tracking error in real time for intraoperative environments in feasibility clinical trials in image-guided interventions. |
URL | http://dx.doi.org/10.1117/12.2082330 |
DOI | 10.1117/12.2082330 |
PerkWeb Citation Key | Harish2015 |