Evaluation of thresholding techniques on 3d fractal dimension MRI images
Currently, there are few textural measures being used to characterize the textual memorization of brain structures. Fractal Analysis (FA) application in medical field has been used to measure the occurrence of changes in the brain complexity for some diseased and normal aging brain. Within FA, there...
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my.iium.irep.522572017-06-13T02:38:51Z http://irep.iium.edu.my/52257/ Evaluation of thresholding techniques on 3d fractal dimension MRI images Jamaludin, Iqbal Che Azemin, Mohd Zulfaezal Sapuan, Abdul HaliM Abdul Majid, Zafri Azran Musa, Liyana A. Rahman, Nor Azlina Ahmad, Azmir Mohamed Sideek, Mohamed Arshad Q Science (General) Currently, there are few textural measures being used to characterize the textual memorization of brain structures. Fractal Analysis (FA) application in medical field has been used to measure the occurrence of changes in the brain complexity for some diseased and normal aging brain. Within FA, there is Fractal Dimension (FD), which is an index of structural complexity. FD methods were classified into three major categories which are box-counting method, variance method and spectral method. Here in this study we used box-counting method to measure our FD due to its directness and automatic computability capabilities. We evaluated the impact of different thresholding techniques when quantifying the FD. We applied three different thresholding techniques on our brain MRI images: Otsu’s method, midpoint method, and hysteresis method. A total of 27 subjects (14 males and 13 females) aged ranging between 21-25 years old were voluntarily participated. The process of thresholding the images and computation of the FD values were done under MATLAB. There was a statistically significant difference between groups of thresholding techniques as determined by Friedman test with χ2(2)=48.667 and p-value was less than 0.001. Post-hoc Wilcoxon-Signed Ranked test with Bonferroni correction done where the p-value was set to 0.017. All three group pairs (midpoint vs Otsu’s, midpoint vs hysteresis and hysteresis vs Otsu’s) were statistically significant different with p-value less than 0.001. Pearson’s correlation showed moderate correlation (r=0.446, p-value = 0.02) between hysteresis and Otsu’s. Spearman correlation showed weak correlation which is not significant (r=0.256, p=0.198) for midpoint vs Otsu’s and (r=0.252, p=0.204) for midpoint vs hysteresis. In conclusion, different thresholding techniques do have impact on FD values, but with moderate correlation between them. Keywords: Box-counting; Thresholding; Fractal dimension; Brain; Magnetic resonance imaging; Textual memorization 2016 Conference or Workshop Item REM application/pdf en http://irep.iium.edu.my/52257/5/PROGRAM%20BOOK%20ISHAMS.pdf application/pdf en http://irep.iium.edu.my/52257/14/52257%20paper.pdf application/pdf en http://irep.iium.edu.my/52257/15/52257%20presentation.pdf Jamaludin, Iqbal and Che Azemin, Mohd Zulfaezal and Sapuan, Abdul HaliM and Abdul Majid, Zafri Azran and Musa, Liyana and A. Rahman, Nor Azlina and Ahmad, Azmir and Mohamed Sideek, Mohamed Arshad (2016) Evaluation of thresholding techniques on 3d fractal dimension MRI images. In: 2016 2nd International Symposium on Health and Medical Sciences (ISHAMS 2016), 4th-6th Oct. 2016, Penang, Malaysia. (Unpublished) |
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Q Science (General) Jamaludin, Iqbal Che Azemin, Mohd Zulfaezal Sapuan, Abdul HaliM Abdul Majid, Zafri Azran Musa, Liyana A. Rahman, Nor Azlina Ahmad, Azmir Mohamed Sideek, Mohamed Arshad Evaluation of thresholding techniques on 3d fractal dimension MRI images |
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Currently, there are few textural measures being used to characterize the textual memorization of brain structures. Fractal Analysis (FA) application in medical field has been used to measure the occurrence of changes in the brain complexity for some diseased and normal aging brain. Within FA, there is Fractal Dimension (FD), which is an index of structural complexity. FD methods were classified into three major categories which are box-counting method, variance method and spectral method. Here in this study we used box-counting method to measure our FD due to its directness and automatic computability capabilities. We evaluated the impact of different thresholding techniques when quantifying the FD. We applied three different thresholding techniques on our brain MRI images: Otsu’s method, midpoint method, and hysteresis method. A total of 27 subjects (14 males and 13 females) aged ranging between 21-25 years old were voluntarily participated. The process of thresholding the images and computation of the FD values were done under MATLAB. There was a statistically significant difference between groups of thresholding techniques as determined by Friedman test with χ2(2)=48.667 and p-value was less than 0.001. Post-hoc Wilcoxon-Signed Ranked test with Bonferroni correction done where the p-value was set to 0.017. All three group pairs (midpoint vs Otsu’s, midpoint vs hysteresis and hysteresis vs Otsu’s) were statistically significant different with p-value less than 0.001. Pearson’s correlation showed moderate correlation (r=0.446, p-value = 0.02) between hysteresis and Otsu’s. Spearman correlation showed weak correlation which is not significant (r=0.256, p=0.198) for midpoint vs Otsu’s and (r=0.252, p=0.204) for midpoint vs hysteresis. In conclusion, different thresholding techniques do have impact on FD values, but with moderate correlation between them.
Keywords: Box-counting; Thresholding; Fractal dimension; Brain; Magnetic resonance imaging; Textual memorization |
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Conference or Workshop Item |
author |
Jamaludin, Iqbal Che Azemin, Mohd Zulfaezal Sapuan, Abdul HaliM Abdul Majid, Zafri Azran Musa, Liyana A. Rahman, Nor Azlina Ahmad, Azmir Mohamed Sideek, Mohamed Arshad |
author_facet |
Jamaludin, Iqbal Che Azemin, Mohd Zulfaezal Sapuan, Abdul HaliM Abdul Majid, Zafri Azran Musa, Liyana A. Rahman, Nor Azlina Ahmad, Azmir Mohamed Sideek, Mohamed Arshad |
author_sort |
Jamaludin, Iqbal |
title |
Evaluation of thresholding techniques on 3d fractal dimension MRI images |
title_short |
Evaluation of thresholding techniques on 3d fractal dimension MRI images |
title_full |
Evaluation of thresholding techniques on 3d fractal dimension MRI images |
title_fullStr |
Evaluation of thresholding techniques on 3d fractal dimension MRI images |
title_full_unstemmed |
Evaluation of thresholding techniques on 3d fractal dimension MRI images |
title_sort |
evaluation of thresholding techniques on 3d fractal dimension mri images |
publishDate |
2016 |
url |
http://irep.iium.edu.my/52257/5/PROGRAM%20BOOK%20ISHAMS.pdf http://irep.iium.edu.my/52257/14/52257%20paper.pdf http://irep.iium.edu.my/52257/15/52257%20presentation.pdf http://irep.iium.edu.my/52257/ |
_version_ |
1643614131933151232 |
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13.211869 |