In this paper a new image registration methodology for matching anatomical medical images is presented. It is based on a point-to-point matching methodology that uses the Cauchy-Navier splines transformation to model the deformable anatomical behavior associated with non-rigid body medical image registration. These transformations are illustrated by matching corresponding CT and MR images of the Thorax. By applying Cauchy-Navier splines transformation to landmarks created using segmentation method, an improved performance is achieved. The Cauchy-Navier spline is compared to thin plate spline and multi-quadratic methods.
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