Hoßbach, Martin ; Gregori, Johannes ; Wesarg, Stefan ; Günther, Matthias (2013)
Design and Analysis of a Calibration-method for Stereo-optical Motion Tracking in MRI using a Virtual Calibration Phantom.
Medical Imaging 2013: Physics of Medical Imaging. Part One.
doi: 10.1117/12.2007239
Conference or Workshop Item, Bibliographie
Abstract
Motion tracking for head motion compensation in MRI has been a research topic for several years. However, literature is not giving much attention to the calibration of such setups. We present a method to calibrate the coordinate systems of a stereo-optical camera setup mounted to the MRI head coil. Though using a simple setup and visible instead of infrared light for tracking, it is possible to achieve a sub-millimeter tracking precision. Blue water-filled spheres are positioned throughout the whole MRI imaging volume and detected in images of the tracking cameras as well as MRI scans. In order to register the coordinate systems of both camera system and MRI scanner, a heuristic-enhanced brute-force approach is used to match detected spheres in the different images. Then, a rigid transformation is calculated and applied to the cameras' external parameters to align the coordinate systems. The precision of our setup was evaluated using leave-one-out cross validation both for the camera calibration and the scanner coordinate system registration. We found that the cameras' locations and orientations are correct within 0:03mm and 0:03°, using a number of 45 spheres. Evaluation of the MRI coordinate system registration showed an average reprojection error of 1:1 mm. Influence of a feature point jitter of 0:5 px is 0:03mm for a point close to the cameras and 0:3mm for a point close to the back of the patient's head. Tracked poses are correct within 0:17mm and 0:001°.
Item Type: | Conference or Workshop Item |
---|---|
Erschienen: | 2013 |
Creators: | Hoßbach, Martin ; Gregori, Johannes ; Wesarg, Stefan ; Günther, Matthias |
Type of entry: | Bibliographie |
Title: | Design and Analysis of a Calibration-method for Stereo-optical Motion Tracking in MRI using a Virtual Calibration Phantom |
Language: | English |
Date: | 2013 |
Publisher: | SPIE Press, Bellingham |
Series: | Proceedings of SPIE; 8668 |
Event Title: | Medical Imaging 2013: Physics of Medical Imaging. Part One |
DOI: | 10.1117/12.2007239 |
Abstract: | Motion tracking for head motion compensation in MRI has been a research topic for several years. However, literature is not giving much attention to the calibration of such setups. We present a method to calibrate the coordinate systems of a stereo-optical camera setup mounted to the MRI head coil. Though using a simple setup and visible instead of infrared light for tracking, it is possible to achieve a sub-millimeter tracking precision. Blue water-filled spheres are positioned throughout the whole MRI imaging volume and detected in images of the tracking cameras as well as MRI scans. In order to register the coordinate systems of both camera system and MRI scanner, a heuristic-enhanced brute-force approach is used to match detected spheres in the different images. Then, a rigid transformation is calculated and applied to the cameras' external parameters to align the coordinate systems. The precision of our setup was evaluated using leave-one-out cross validation both for the camera calibration and the scanner coordinate system registration. We found that the cameras' locations and orientations are correct within 0:03mm and 0:03°, using a number of 45 spheres. Evaluation of the MRI coordinate system registration showed an average reprojection error of 1:1 mm. Influence of a feature point jitter of 0:5 px is 0:03mm for a point close to the cameras and 0:3mm for a point close to the back of the patient's head. Tracked poses are correct within 0:17mm and 0:001°. |
Uncontrolled Keywords: | Business Field: Digital society, Research Area: Generalized digital documents, Magnetic resonance imaging (MRI), Optical tracking, Calibration |
Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Interactive Graphics Systems |
Date Deposited: | 12 Nov 2018 11:16 |
Last Modified: | 12 Nov 2018 11:16 |
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