Radiological images are increasingly being used in healthcare and medical r
esearch. There is, consequently, widespread interest in accurately relating
information in the different images for diagnosis, treatment and basic sci
ence. This article reviews registration techniques used to solve this probl
em, and describes the wide variety of applications to which these technique
s are applied. Applications of image registration include combining images
of the same subject from different modalities, aligning temporal sequences
of images to compensate for motion of the subject between scans, image guid
ance during interventions and aligning images from multiple subjects in coh
ort studies. Current registration algorithms can, in many cases, automatica
lly register images that are related by a rigid body transformation (i.e. w
here tissue deformation can be ignored). There has also been substantial pr
ogress in non-rigid registration algorithms that can compensate for tissue
deformation, or align images from different subjects. Nevertheless many reg
istration problems remain unsolved, and this is likely to continue to be an
active field of research in the future.