Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/49716
Título: DT-MRI regularization using anisotropic tensor field filtering
Autores/as: Rodriguez-Florido, M. A.
Westin, C. F.
Ruiz-Alzola, J. 
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Tensor fields
Tensor imaging
Anisotropic method
Adaptive filters
Fecha de publicación: 2004
Publicación seriada: 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Conferencia: 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano 
Resumen: In this paper, we present a new non-iterative anisotropic method to regularize vector and higher order tensor fields. The driving application for this work is filtering data from diffusion tensor imaging. Our scheme is based on a multidimensional anisotropic adaptive filtering. The method is based on first estimating the local structure of the field and, then, combining the outputs of a set of steerable filter basis responses to the tensor field, which are adaptively weighted depending on the local structure. Promising results are presented from experiments on both synthetic data and real diffusion tensor MRI.
URI: http://hdl.handle.net/10553/49716
ISBN: 0780383885
Fuente: 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano,v. 1, p. 336-339
Colección:Actas de congresos
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