Evaluation of a fully automatic medical image registration algorithm based on mutual information

Abstract

Registration is a fundamental task in image processing. Its purpose is to find a geometrical transformation that relates the points of an image to their corresponding points of another image. Many registration algorithms have been proposed in the past decade. We present a fast, fully automatic algorithm that is capable of solving rigid-body registration of 3D images of the human brain where the images are taken by different imaging devices. We joined the Retrospective Registration Evaluation Project conducted by Vanderbilt University, USA. The evaluations of our results show that our method has the potential to produce satisfactory results, but visual inspection is necessary to guard against large errors.