Medical imaging often involves the collective use of information presented in multiple images of an individual, such as images generated through different imaging modalities (X-ray, CT, PET, etc.) The use of a composite of these images may involve image registration to adjust for the variable position and orientation discrepancies of the individual during imaging. However, registration may be complicated by soft tissue deformation between images, and implementations (particularly pure software implementations) of the mathematical models used in image registration may be computationally complex and may require up to several hours. Hardware architectures are presented that apply the mathematical techniques in an accelerated manner, thereby providing near-realtime image registration that may be of particular use for the short timeframe requirements of surgical environments. The composite image generated thereby may be used to target anatomic features of interest during various medical procedures, including surgical procedures. Moreover, such techniques may be applied to computationally difficult image processing techniques, such as the display of a composite image based at least in part on a PET image, which may otherwise be difficult to utilize in a time-sensitive manner such as a surgical setting.Limagerie médicale implique souvent lutilisation collective de données présentées sur plusieurs images chez un même sujet, par exemple les images générées par différentes modalités dimagerie (rayons X, TDM, PET, etc.). Lutilisation dun composite de ces images peut impliquer une consignation des images pour sadapter à la position variable et aux écarts dorientation du sujet lors de la prise dimages. Cependant, la consignation peut savérer compliquée par la déformation des tissus mous entre les images, et les implémentations (en particulier les implémentations purement informatiques) des modèles mathématiques utilisés dans la consignation des images peuvent être dun calcul com
