An entropy-based technique for nonrigid medical image alignment

Abstract

In this paper, we propose a nonrigid image registration technique by minimizing an information-theoretic measure using the quasi-Newton method as an optimization scheme and a cubic B-spline for modeling the nonrigid deformation field between the reference and target 3D image pairs. Experimental results are provided to demonstrate the registration accuracy of the proposed approach. The feasibility of our method is demonstrated on a 3D magnetic resonance data volume. © 2011 Springer-Verlag Berlin Heidelberg.