Novel algorithms for robust registration of fiducials in CT and MRI

Abstract

In this paper we present several numerical algorithms for registering fiducials in planar CT or MRI images to their corresponding three-dimensional locations. The unique strength of these methods is their ability to robustly handle incomplete fiducials patterns, even in extreme cases when as much as one third of the fiducial data is missing from the images. We compare the effectiveness of these algorithms in terms of flops and robustness on actual CT data sets.