In this paper, we examine the problem of point-based registration in which a pair of two-dimensional projective views of an object is used to reconstruct the three-dimensional position of given points within the object. The particular application we consider is that of integrating preoperative, three-dimensional information, for example that provided by a CT scan, with the two-dimensional information given by intraoperative fluoroscopy. To facilitate registration, before the preoperative scan we embed small, removable spheres in the patient’s anatomy proximal to the site of proposed surgery; the spheres remain in place until the image-guided phase of the operation is complete.
CITATION STYLE
West, J. B., Khadem, R., Chin, S., & Shahidi, R. (2001). A maximum likelihood approach for 2-D to 3-D registration. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2208, pp. 1283–1284). Springer Verlag. https://doi.org/10.1007/3-540-45468-3_195
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