Improving the Convergence Rate in Affine Registration of PET and SPECT Brain Images Using Histogram Equalization
Joint Authors
Saez, Juan Manuel Gorriz
Padilla, Pablo
Salas-González, Diego
Illán, I. A.
Ramírez, Javier
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-12
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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 the affine registration.
The preprocessed source brain images are spatially normalized to a template using a general affine model with 12 parameters.
A sum of squared differences between the source images and the template is considered as objective function, and a Gauss-Newton optimization algorithm is used to find the minimum of the cost function.
Using histogram equalization as a preprocessing step improves the convergence rate in the affine registration algorithm of brain images as we show in this work using SPECT and PET brain images.
American Psychological Association (APA)
Salas-González, Diego& Saez, Juan Manuel Gorriz& Ramírez, Javier& Padilla, Pablo& Illán, I. A.. 2013. Improving the Convergence Rate in Affine Registration of PET and SPECT Brain Images Using Histogram Equalization. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-496644
Modern Language Association (MLA)
Salas-González, Diego…[et al.]. Improving the Convergence Rate in Affine Registration of PET and SPECT Brain Images Using Histogram Equalization. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-496644
American Medical Association (AMA)
Salas-González, Diego& Saez, Juan Manuel Gorriz& Ramírez, Javier& Padilla, Pablo& Illán, I. A.. Improving the Convergence Rate in Affine Registration of PET and SPECT Brain Images Using Histogram Equalization. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-496644
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496644
