Abstract
Patient-to-image registration is a fundamental step of Image Guided Neurosurgery System. In this paper, we propose an automatic technique to register the patient space with the preoperative images based on fiducial markers. Our technique includes three parts. First, we identify the markers in the image space based on multi-scale features and then cluster all this features to find marker centers. And in patient space, we combine Trajkovic’s and Harris’s algorithm to detect the corners in the center of the markers and then reconstruct 3D coordinates based on binocular stereo vision. At last, we register these two sets of centers using RANSAC. Experiments show that the marker centers can be localized precisely and the two space can be perfectly registered.
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Yin, M., Shen, X., Hu, Y., Fang, X. (2013). An Automatic Registration Method Based on Fiducial Marker for Image Guided Neurosurgery System. In: Tan, G., Yeo, G.K., Turner, S.J., Teo, Y.M. (eds) AsiaSim 2013. AsiaSim 2013. Communications in Computer and Information Science, vol 402. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45037-2_11
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DOI: https://doi.org/10.1007/978-3-642-45037-2_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45036-5
Online ISBN: 978-3-642-45037-2
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