Automated 3D Registration of Truncated MR and CT Images of the Head

This paper presents a fully automated technique for the rigid body registration of clinically acquired MR and CT images of the head. We describe our multiresolution approach to the optimisation of voxel similarity measures and evaluate the performance of a number of measures when presented with clinical images with a small overlapping volume. Results are compared with those derived from manual registration by identification of corresponding point landmarks. We show that by limiting the measures to intra-cranial regions of the images, not containing deformable skin surface features, a greater accuracy may be provided for certain types of truncated image.