We propose a methodology to perform real time image-based tracking on streaming 4D ultrasound data, using image registration to deduce the positioning of each ultrasound frame in a global coordinate system. Our method provides an alternative approach to traditional external tracking devices used for tracking probe movements. We compare the performance of our method against magnetic tracking on phantom and liver data, and show that our method is able to provide results in agreement with magnetic tracking.
CITATION STYLE
Øye, O. K., Wein, W., Ulvang, D. M., Matre, K., & Viola, I. (2012). Real time image-based tracking of 4D ultrasound data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7510 LNCS, pp. 447–454). Springer Verlag. https://doi.org/10.1007/978-3-642-33415-3_55
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