Open-LIFU Transducer Localization Accuracy Study
Description
This report describes the use of photogrammetric reconstruction for localizing the position of an ultrasonic transducer on a subject, and co-registering the transducer position with the subject's MRI image. Openwater's cell phone application was used to acquire images of a mannequin wearing an Open-LIFU 2X headset at a known position; photogrammetry meshes were reconstructed from those images and co-registered with the mannequin's MRI and with a model of the transducer, determining the transducer position relative to the subject's internal anatomy.
Two reconstruction methods were tested across 30 scans: an online method (Apple Composer Pro) and an offline open-source method (Meshroom / AliceVision). The online method produced average errors of less than 1 mm in the right, anterior, and superior directions; the offline method produced average errors of up to approximately 3 mm. Standard deviations across repeated trials were 1-2 mm for both methods, indicating good repeatability. Both fall within the 1-3 mm range typically reported for clinical neuronavigation systems, supporting phone-based photogrammetry as a sufficient method for subject registration in the Open-LIFU desktop application.
Files
Open-LIFU Transducer Localization Accuracy Study Working Version (1).pdf
Files
(5.1 MB)
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Additional details
Related works
- Documents
- Software: https://github.com/OpenwaterHealth/SlicerOpenLIFU (URL)
References
- 3D Slicer image computing platform. https://www.slicer.org (accessed 2026-03-17).
- Fedorov A, et al. 3D Slicer as an Image Computing Platform for the Quantitative Imaging Network. Magnetic Resonance Imaging. 2012 Nov;30(9):1323-41.
- Griwodz C, et al. AliceVision Meshroom: An open-source 3D reconstruction pipeline. MMSys'21: Proceedings of the 12th ACM Multimedia Systems Conference. 2021:241-247.
- Widmann G, Schullian P, Ortler M, Bale R. Accuracy of stereotactic and neuronavigation systems. Acta Neurochirurgica (Wien). 2006;148(4):355-367.