Landmark-Based Registration Using Features Identified Through Differential Geometry
نویسندگان
چکیده
Registration of 3D medical images consists in computing the “best” transformation between two acquisitions, or equivalently, determines the point to point correspondence between the images. Registration algorithms are usually based either on features extracted from the image (feature-based approaches) or on the optimization of a similarity measure of the images intensities (intensity-based or iconic approaches). Another classification criterion is the type of transformation sought (e.g. rigid or non-rigid).
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