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A new method for MR grayscale inhomogeneity correction

Intensity inhomogeneity is a smooth intensity change inside originally homogeneous regions. Filter-based inhomogeneity correction methods have been commonly used in literatures. However, there are few literatures which compare effectiveness of these methods for inhomogeneity correction. In this pape...

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Main Authors: Balafar, Mohammad Ali, Ramli, Abdul Rahman, Mashohor, Syamsiah
Format: Article
Language:English
Published: Springer 2010
Online Access:http://psasir.upm.edu.my/id/eprint/12749/1/A%20new%20method%20for%20MR%20grayscale%20inhomogeneity%20correction.pdf
http://psasir.upm.edu.my/id/eprint/12749/
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spelling my.upm.eprints.127492019-04-10T06:29:58Z http://psasir.upm.edu.my/id/eprint/12749/ A new method for MR grayscale inhomogeneity correction Balafar, Mohammad Ali Ramli, Abdul Rahman Mashohor, Syamsiah Intensity inhomogeneity is a smooth intensity change inside originally homogeneous regions. Filter-based inhomogeneity correction methods have been commonly used in literatures. However, there are few literatures which compare effectiveness of these methods for inhomogeneity correction. In this paper, a new filter-based inhomogeneity correction method is proposed and the effectiveness of the proposed method and other filter-based inhomogeneity correction methods are compared. The methods with different kernel sizes are applied on MRI brain images and the quality of inhomogeneity correction of different methods are compared quantitatively. Experimental results show the proposed method in a kernel size of 20 * 20 performs almost better than or equal the performance of other methods in all kernel sizes. Springer 2010-08 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/12749/1/A%20new%20method%20for%20MR%20grayscale%20inhomogeneity%20correction.pdf Balafar, Mohammad Ali and Ramli, Abdul Rahman and Mashohor, Syamsiah (2010) A new method for MR grayscale inhomogeneity correction. Artificial Intelligence Review, 34 (2). pp. 195-204. ISSN 0269-2821; ESSN: 1573-7462 10.1007/s10462-010-9169-7
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Intensity inhomogeneity is a smooth intensity change inside originally homogeneous regions. Filter-based inhomogeneity correction methods have been commonly used in literatures. However, there are few literatures which compare effectiveness of these methods for inhomogeneity correction. In this paper, a new filter-based inhomogeneity correction method is proposed and the effectiveness of the proposed method and other filter-based inhomogeneity correction methods are compared. The methods with different kernel sizes are applied on MRI brain images and the quality of inhomogeneity correction of different methods are compared quantitatively. Experimental results show the proposed method in a kernel size of 20 * 20 performs almost better than or equal the performance of other methods in all kernel sizes.
format Article
author Balafar, Mohammad Ali
Ramli, Abdul Rahman
Mashohor, Syamsiah
spellingShingle Balafar, Mohammad Ali
Ramli, Abdul Rahman
Mashohor, Syamsiah
A new method for MR grayscale inhomogeneity correction
author_facet Balafar, Mohammad Ali
Ramli, Abdul Rahman
Mashohor, Syamsiah
author_sort Balafar, Mohammad Ali
title A new method for MR grayscale inhomogeneity correction
title_short A new method for MR grayscale inhomogeneity correction
title_full A new method for MR grayscale inhomogeneity correction
title_fullStr A new method for MR grayscale inhomogeneity correction
title_full_unstemmed A new method for MR grayscale inhomogeneity correction
title_sort new method for mr grayscale inhomogeneity correction
publisher Springer
publishDate 2010
url http://psasir.upm.edu.my/id/eprint/12749/1/A%20new%20method%20for%20MR%20grayscale%20inhomogeneity%20correction.pdf
http://psasir.upm.edu.my/id/eprint/12749/
_version_ 1643825123206103040
score 13.211869

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