Geostatistical Medical Image Registration

Abstract. We propose a novel approach to landmark-based medical image registration based on the geostatical method of Kriging prediction. Our method exploits the spatial statistical relation between two images, as estimated using generalpurpose registration algorithms, in order to construct an optimum predictor of the displacement field. High accuracy is achieved by using an estimated spatial model of the displacement field directly from the image data, while practically circumventing the difficulties that prevented Kriging from being widely used in image registration.

• Type: Conference
• Year: 2003
• Where: MICCAI
• Authors: Carl-Fredrik Westin, Carlos Alberola-López, Eduardo Suárez, Juan Ruiz-Alzola, Simon K. Warfield
• Keywords: Displacement Field, Medical Image Registration, Medical Imaging, MICCAI 2003, Spatial Statistical Relation