2D and 3D Complexity Analysis on MRI Images using Fractal Dimension

Authors

  • I. Jamaludin Department of Diagnostic Imaging and Radiotherapy, Kulliyyah of Allied Health Sciences, International Islamic University Malaysia.
  • M. Z. Che Azemin Department of Optometry and Visual Science, Kulliyyah of Allied Health Sciences, International Islamic University Malaysia.
  • A. H. Sapuan Department of Diagnostic Imaging and Radiotherapy, Kulliyyah of Allied Health Sciences, International Islamic University Malaysia.
  • A. A. Zainuddin Professional Nursing Studies Department, Kulliyyah of Nursing, International Islamic University Malaysia.
  • R. Hassan Department of Radiology, Kulliyyah of Medicine, International Islamic University Malaysia.

Keywords:

Brain, Box-Counting, Fractal Dimension, Magnetic Resonance Imaging.

Abstract

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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Published

2018-02-15

How to Cite

Jamaludin, I., Che Azemin, M. Z., Sapuan, A. H., Zainuddin, A. A., & Hassan, R. (2018). 2D and 3D Complexity Analysis on MRI Images using Fractal Dimension. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-8), 161–164. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3754

Issue

Vol. 10 No. 1-8: Breakthrough To Excellence in Communication and Computer Engineering IV

Section

Articles

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