Abstract
In this paper, we propose a hybrid similarity measure for 2D-3D image registration that is a weighted combination of an intensity-based image similarity measure and a point-based measure incorporating a single fiducial marker. We evaluate its accuracy and robustness using gold-standard clinical spine image data. The use of one fiducial marker substantially improves registration accuracy and robustness.
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Russakoff, D.B., Rohlfing, T., Shahidi, R., Kim, D.H., Adler, J.R., Maurer, C.R. (2003). Intensity-Based 2D-3D Spine Image Registration Incorporating One Fiducial Marker. In: Ellis, R.E., Peters, T.M. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. MICCAI 2003. Lecture Notes in Computer Science, vol 2878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39899-8_36
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DOI: https://doi.org/10.1007/978-3-540-39899-8_36
Publisher Name: Springer, Berlin, Heidelberg
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