Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/49717
Título: Geostatistical medical image registration
Autores/as: Ruiz-Alzola, J. 
Suarez, E.
Alberola-Lopez, C.
Warfield, S. K.
Westin, C. F.
Clasificación UNESCO: 3325 Tecnología de las telecomunicaciones
Palabras clave: Image registration
Kriging
Biomedical imaging
Fecha de publicación: 2003
Publicación seriada: Lecture Notes in Computer Science 
Conferencia: 6th International Conference on Medical Image Computing and Computer-Assisted Intervention 
Resumen: 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 general-purpose 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.
URI: http://hdl.handle.net/10553/49717
ISSN: 0302-9743
Fuente: Lecture Notes in Computer Science[ISSN 0302-9743],v. 2879, p. 894-901
Colección:Actas de congresos
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