Study of the precision of a 3-D image registration technique using 3-D PET brain simulated images

Abstract

In this work, we present a method for evaluation of multimodal 3-D image registration techniques using Monte-Carlo 3-D PET brain simulated images as well as images of external markers in discrete image space characterized by the voxel size. This approach will offer an accurate and inexpensive way to evaluate the precision of any registration approach, in particular the methods that rely on extrinsic fiducial markers. The results show that the precision of the registration method is within a pixel of the modality with the poorest resolution.