Abstract
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.
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Øye, O.K., Wein, W., Ulvang, D.M., Matre, K., Viola, I. (2012). Real Time Image-Based Tracking of 4D Ultrasound Data. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. MICCAI 2012. Lecture Notes in Computer Science, vol 7510. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33415-3_55
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DOI: https://doi.org/10.1007/978-3-642-33415-3_55
Publisher Name: Springer, Berlin, Heidelberg
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