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We propose in this paper to deal with the notion of medical image registration: both physicians and surgeons need in the patient room or in the operation theater images of the medical target to reach and treat; these images can be very precise and come from a pre-operative acquisition device (NMR, CT-scanner,...) or from a per-operative set of sensors (active or passive infra-red sensors, laser acquisition, numerical 2D X rays, 3D echography,...). The main problem is then how to compare these multi-modal images having different resolutions and extracting different features (anatomic or functional) from the patient medical reality? In a first section, we present the hard side with essentially optical sensing methods; after, in a second section, we present an example of matching algorithm built in order to compare and super-impose pre- and per-operative images.

Registration of medical images for surgical action: use of optical sensors and matching algorithm