Improving the Convergence Rate in Affine Registration of PET and SPECT Brain Images Using Histogram Equalization

A procedure to improve the convergence rate for affine registration methods of medical brain images when the images differ greatly from the template is presented. The methodology is based on a histogram matching of the source images with respect to the reference brain template before proceeding with...

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Detalles Bibliográficos
Autores principales: Salas-Gonzalez, D., Górriz, J. M., Ramírez, J., Padilla, P., Illán, I. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3665226/
https://www.ncbi.nlm.nih.gov/pubmed/23762198
http://dx.doi.org/10.1155/2013/760903

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3665226/
https://www.ncbi.nlm.nih.gov/pubmed/23762198
http://dx.doi.org/10.1155/2013/760903

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