Brain Tumor Detection and Size Estimation using Microwave Imaging

Authors

  • Mohamad Hamizi Limbah High Voltage Power Energy Research, Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, 88400 Sabah, Malaysia
  • Dayangku Malisa Agku Mohd Ridzwan High Voltage Power Energy Research, Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, 88400 Sabah, Malaysia
  • Herwansyah Lago High Voltage Power Energy Research, Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, 88400 Sabah, Malaysia
  • Ahmad Razani Haron High Voltage Power Energy Research, Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, 88400 Sabah, Malaysia
  • Pungut Ibrahim High Voltage Power Energy Research, Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, 88400 Sabah, Malaysia
  • Megat Muhammad Ikhsan Megat Hasnan High Voltage Power Energy Research, Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, 88400 Sabah, Malaysia
  • Nur Aqilah Mohamad Institute of High Voltage and High Current, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia
  • Chai Chang Yii High Voltage Power Energy Research, Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, 88400 Sabah, Malaysia
  • Markus Diantoro Departmenet of Physics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang (UM), Semarang 5 Malang 65145, Indonesia

DOI:

https://doi.org/10.37934/aram.126.1.178187

Keywords:

Magnetic Resonance (MRI), Computed Tomography (CT) scan, X-ray scan, Microstrip Patch Antenna, Return Loss, Specific Absorption Rate (SAR) value, Electromagnetic Software

Abstract

This project focuses on developing an antenna that utilising microwave imaging technology for visualising, detecting, and estimating the size of human tumors using simulation approach. A rectangular microstrip patch antenna is chosen for its advantages of low cost, convenience, efficiency, and compactness, offering a non-ionised alternative. To meet the antenna specifications, rectangular slots are incorporated into the design. The antenna performs effectively at 7.5 GHz, exhibiting a return loss of -24.20383 dB, well below the -10 dB threshold. Placing the antenna 15 mm away from the human brain model results in a specific absorption rate (SAR) value of 0.2 W/kg for 10g, indicating its safety for brain imaging. By scanning a human head phantom with and without a tumor, the antenna captures reflected signals from different locations, enabling the generation of tumour images. A 10-mm-radius tumor is introduced to the phantom, and the unique reflected signal serves as an indicator for tumor detection, using the signal without a tumor as a reference. MATLAB software is employed for image processing, allowing the generation of tumour images and the estimation of tumor size. The simulation results demonstrate 63% accuracy in tumor size estimation. In conclusion, the antenna proves to be a safe and effective brain imaging system for tumor detection.

Author Biographies

Mohamad Hamizi Limbah, High Voltage Power Energy Research, Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, 88400 Sabah, Malaysia

hm001a010@gmail.com

Dayangku Malisa Agku Mohd Ridzwan, High Voltage Power Energy Research, Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, 88400 Sabah, Malaysia

malisadayangku@gmail.com

Herwansyah Lago, High Voltage Power Energy Research, Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, 88400 Sabah, Malaysia

herwansyah@ums.edu.my

Ahmad Razani Haron, High Voltage Power Energy Research, Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, 88400 Sabah, Malaysia

ahmadraz@ums.edu.my

Pungut Ibrahim, High Voltage Power Energy Research, Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, 88400 Sabah, Malaysia

pungut@ums.edu.my

Megat Muhammad Ikhsan Megat Hasnan, High Voltage Power Energy Research, Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, 88400 Sabah, Malaysia

megatikhsan@ums.edu.my

Nur Aqilah Mohamad, Institute of High Voltage and High Current, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

nuraqilah.m@utm.my

Chai Chang Yii, High Voltage Power Energy Research, Faculty of Engineering, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, 88400 Sabah, Malaysia

chaichangyii@ums.edu.my

Markus Diantoro, Departmenet of Physics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Malang (UM), Semarang 5 Malang 65145, Indonesia

markus.diantoro.fmipa@um.ac.id

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Published

2024-10-30

How to Cite

Limbah, M. H. ., Agku Mohd Ridzwan, D. M. ., Lago, H., Haron, A. R. ., Ibrahim, P., Megat Hasnan, M. M. I. ., Mohamad, N. A. ., Chai , C. Y., & Diantoro, M. . (2024). Brain Tumor Detection and Size Estimation using Microwave Imaging. Journal of Advanced Research in Applied Mechanics, 126(1), 178–187. https://doi.org/10.37934/aram.126.1.178187

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