Our recently published 3D-3D deformable image registration algorithm, Mjolnir (Ellingsen et al., 2006) was developed for inter-subject registration of MR brain images, Mjolnir is a hybrid registration method, where both anatomical features and image intensities are used to hierarchically align the images. In addition to the hierarchical scheme, the algorithm was implemented in a multi-resolution framework, which both reduces local minima and speeds up the registration process. In this paper an extension to this work is proposed, where Mjolnir has been adapted to register CT images of the pelvis. The main concepts of Mjolnir will be briefly described and the changes made to previous work explained. The algorithm was tested on CT images of the pelvis of 13 different subjects. Results indicate good registration accuracy however, further validation is needed.