title: Rigid registration of medical images using 1D and 2D binary projections.
abstract: Image registration is a necessary procedure in everyday clinical practice. Several techniques for rigid and non-rigid registration have been developed and tested and the state-of-the-art is evolving from the research setting to incorporate image registration techniques into clinically useful tools. In this paper, we develop a novel rigid medical image registration technique which incorporates binary projections. This technique is tested and compared to the standard mutual information (MI) methods. Results show that the method is significantly more accurate and robust compared to MI methods. The accuracy is well below 0.5° and 0.5 mm. This method introduces two more improvements over MI methods: (1)for 2D registration with the use of 1D binary projections, we use minimal interpolation; and (2) for 3D registration with the use of 2D binary projections the method converges to stable final positions, independent of the initial misregistration.
authors.affiliation: Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK. p.kotsas@sheffield.ac.uk
authors.forename: Panayiotis
authors.initials: P
authors.lastname: Kotsas
authors.forename: Tony
authors.initials: T
authors.lastname: Dodd
mesh_terms: D000465:Algorithms; D003952:Diagnostic Imaging; D006801:Humans; D007090:Image Interpretation, Computer-Assisted