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: | , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Universiti Teknikal Malaysia Melaka
2018
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| Subjects: | |
| Online Access: | 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 http://irep.iium.edu.my/63922/ http://journal.utem.edu.my/index.php/jtec/article/view/3754/2627 |
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| Summary: | 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. |
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