A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
A method for evalutating CT-based surgical registration
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
A unified approach to surface-based registration for image-guided surgery
A unified approach to surface-based registration for image-guided surgery
On fiducial target registration error in the presence of anisotropic noise
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
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We propose and test analytic equations for approximating expected fiducial and surface target registration error (TRE). The equations are derived from a spatial stiffness model of registration. The fiducial TRE equation is equivalent to one presented by [1]. We believe that the surface TRE equation is novel, and we provide evidence from computer simulations to support the accuracy of the approximation.