2D and 3D complexity analysis on MRI images using fractal dimension

2D and 3D complexity analysis on MRI images using fractal dimension

The brain, which is the most complex structure in the human body, has attracted attention of many researchers to study the possible fractal analysis application upon it. Current interest is seen directed more towards the utilization of complexity analysis as measured by fractal dimension in det...

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Main Authors: Jamaludin, Iqbal, Che Azemin, Mohd Zulfaezal, Sapuan, Abdul HaliM, Zainuddin, A.A., Hassan, Radhiana
Format: Article
Language:English
English
Published: Universiti Teknikal Malaysia Melaka 2018
Subjects:
QM Human anatomy
RC Internal medicine
Online Access:http://irep.iium.edu.my/63922/
http://irep.iium.edu.my/63922/
http://irep.iium.edu.my/63922/1/63922_2D%20and%203D%20complexity%20analysis%20on%20MRI%20images%20using%20fractal_article.pdf
http://irep.iium.edu.my/63922/2/63922_2D%20and%203D%20complexity%20analysis%20on%20MRI%20images%20using%20fractal_scopus.pdf
id iium-63922
recordtype eprints
spelling iium-639222018-05-28T01:33:08Z http://irep.iium.edu.my/63922/ 2D and 3D complexity analysis on MRI images using fractal dimension Jamaludin, Iqbal Che Azemin, Mohd Zulfaezal Sapuan, Abdul HaliM Zainuddin, A.A. Hassan, Radhiana QM Human anatomy RC Internal medicine The brain, which is the most complex structure in the human body, has attracted attention of many researchers to study the possible fractal analysis application upon it. Current interest is seen directed more towards the utilization of complexity analysis as measured by fractal dimension in determining the pathologies effect and degenerative factor on the brain structure volume. In this paper, we used two boxcounting methods: average 2D Fractal Dimension and 3D Fractal Dimension. 47 subjects (19 males, 28 females), aged ranging from 21 to 25 years, were recruited. Brain MRI images were acquired by using 3T MRI system. The images were then thresholded according to Otsu’s method. The processed images were then calculated using fractal analysis, and the values obtained were statistically evaluated using Pearson’s correlation test (r2 = -0.106, p = 0.477). In conclusion, no correlation was seen between average 2D FD and 3D FD. Universiti Teknikal Malaysia Melaka 2018 Article PeerReviewed application/pdf en http://irep.iium.edu.my/63922/1/63922_2D%20and%203D%20complexity%20analysis%20on%20MRI%20images%20using%20fractal_article.pdf application/pdf en http://irep.iium.edu.my/63922/2/63922_2D%20and%203D%20complexity%20analysis%20on%20MRI%20images%20using%20fractal_scopus.pdf Jamaludin, Iqbal and Che Azemin, Mohd Zulfaezal and Sapuan, Abdul HaliM and Zainuddin, A.A. and Hassan, Radhiana (2018) 2D and 3D complexity analysis on MRI images using fractal dimension. Journal of Telecommunication, Electronic and Computer Engineering, 10 (1-8). pp. 161-164. ISSN 2180-1843 E-ISSN 2289-8131 http://journal.utem.edu.my/index.php/jtec/article/view/3754/2627
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic QM Human anatomy
RC Internal medicine
spellingShingle QM Human anatomy
RC Internal medicine
Jamaludin, Iqbal
Che Azemin, Mohd Zulfaezal
Sapuan, Abdul HaliM
Zainuddin, A.A.
Hassan, Radhiana
2D and 3D complexity analysis on MRI images using fractal dimension
description The brain, which is the most complex structure in the human body, has attracted attention of many researchers to study the possible fractal analysis application upon it. Current interest is seen directed more towards the utilization of complexity analysis as measured by fractal dimension in determining the pathologies effect and degenerative factor on the brain structure volume. In this paper, we used two boxcounting methods: average 2D Fractal Dimension and 3D Fractal Dimension. 47 subjects (19 males, 28 females), aged ranging from 21 to 25 years, were recruited. Brain MRI images were acquired by using 3T MRI system. The images were then thresholded according to Otsu’s method. The processed images were then calculated using fractal analysis, and the values obtained were statistically evaluated using Pearson’s correlation test (r2 = -0.106, p = 0.477). In conclusion, no correlation was seen between average 2D FD and 3D FD.
format Article
author Jamaludin, Iqbal
Che Azemin, Mohd Zulfaezal
Sapuan, Abdul HaliM
Zainuddin, A.A.
Hassan, Radhiana
author_facet Jamaludin, Iqbal
Che Azemin, Mohd Zulfaezal
Sapuan, Abdul HaliM
Zainuddin, A.A.
Hassan, Radhiana
author_sort Jamaludin, Iqbal
title 2D and 3D complexity analysis on MRI images using fractal dimension
title_short 2D and 3D complexity analysis on MRI images using fractal dimension
title_full 2D and 3D complexity analysis on MRI images using fractal dimension
title_fullStr 2D and 3D complexity analysis on MRI images using fractal dimension
title_full_unstemmed 2D and 3D complexity analysis on MRI images using fractal dimension
title_sort 2d and 3d complexity analysis on mri images using fractal dimension
publisher Universiti Teknikal Malaysia Melaka
publishDate 2018
url http://irep.iium.edu.my/63922/
http://irep.iium.edu.my/63922/
http://irep.iium.edu.my/63922/1/63922_2D%20and%203D%20complexity%20analysis%20on%20MRI%20images%20using%20fractal_article.pdf
http://irep.iium.edu.my/63922/2/63922_2D%20and%203D%20complexity%20analysis%20on%20MRI%20images%20using%20fractal_scopus.pdf
first_indexed 2023-09-18T21:30:40Z
last_indexed 2023-09-18T21:30:40Z
_version_ 1777412488922398720

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