Efficient Variational Approaches for Deformable Registration of Images
Joint Authors
Akinlar, Mehmet Ali
Bayram, Mustafa
Kurulay, Muhammet
Secer, Aydin
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Dirichlet, anisotropic, and Huber regularization terms are presented for efficient registration of deformable images.
Image registration, an ill-posed optimization problem, is solved using a gradient-descent-based method and some fundamental theorems in calculus of variations.
Euler-Lagrange equations with homogeneous Neumann boundary conditions are obtained.
These equations are discretized by multigrid and finite difference numerical techniques.
The method is applied to the registration of brain MR images of size 65×65.
Computational results indicate that the presented method is quite fast and efficient in the registration of deformable medical images.
American Psychological Association (APA)
Akinlar, Mehmet Ali& Kurulay, Muhammet& Secer, Aydin& Bayram, Mustafa. 2012. Efficient Variational Approaches for Deformable Registration of Images. Abstract and Applied Analysis،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-491930
Modern Language Association (MLA)
Akinlar, Mehmet Ali…[et al.]. Efficient Variational Approaches for Deformable Registration of Images. Abstract and Applied Analysis No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-491930
American Medical Association (AMA)
Akinlar, Mehmet Ali& Kurulay, Muhammet& Secer, Aydin& Bayram, Mustafa. Efficient Variational Approaches for Deformable Registration of Images. Abstract and Applied Analysis. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-491930
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-491930