Simulation Study of Microwave Imaging for Brain Disease Diagnostic

Authors

  • Stephanie Sia Sok San Tomography Imaging and Instrumentation Research Group, School of Mechatronic Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau, Perlis, Malaysia.
  • Mohd Hafiz Fazalul Rahiman Tomography Imaging and Instrumentation Research Group, School of Mechatronic Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau, Perlis, Malaysia.
  • Zulkarnay Zakaria Tomography Imaging and Instrumentation Research Group, School of Mechatronic Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau, Perlis, Malaysia.
  • Masturah Tunnur Mohd Talib Tomography Imaging and Instrumentation Research Group, School of Mechatronic Engineering, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau, Perlis, Malaysia.
  • Jaysuman Pusppanathan Faculty of Biosciences & Medical Engineering, Universiti Teknologi Malaysia, 81310 Skudai Johor, Malaysia.
  • Juliza Jamaludin Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia, 71800 Bandar Baru Nilai, Negeri Sembilan, Malaysia

Keywords:

Brain Tumour, Finite Element Modelling, Linear Back Projection, Microwave Imaging,

Abstract

Brain tumour result by abnormal growth and division of cell inside the skull show high potential to become malignancies and lead to brain damage or even death. Early detection is crucial for further treatment to increase the survival rate of patients who have brain cancer. Existing clinical imaging possess limitation as they are costly, time-consuming and some of them depend on ionising radiation. The microwave imaging has emerged as the new preliminary diagnosis method as it is portable, non-ionising, low cost, and able to produce a good spatial resolution. This paper will be discussing the microwave head based sensing and imaging techniques for brain tumour diagnosis. The 2D FEM approach is applied to solve the forward problem, and the image is reconstructed by implementing linear back projection. Eight rectangular sensing electrodes are arranged in an elliptical array around the head phantom. When one electrode is transmitting the microwave, the remaining of the electrode served as the receiver. The different tumour position is simulated to test the reliability of the system. Lastly, the system is able to detect the tumour, and 1 GHz is chosen as the best frequency based on the simulation and image reconstructed.

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Published

2018-05-30

How to Cite

San, S. S. S., Rahiman, M. H. F., Zakaria, Z., Mohd Talib, M. T., Pusppanathan, J., & Jamaludin, J. (2018). Simulation Study of Microwave Imaging for Brain Disease Diagnostic. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-16), 21–26. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4069

Issue

Vol. 10 No. 1-16: Recent Trends in Biomedical Engineering Systems and Technologies I

Section

Articles

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