Simulation study of microwave imaging for brain disease diagnostic

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...

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Main Authors: Sia, Stephanie Sok San, Rahiman, Mohd. Hafiz Fazalul, Zakaria, Zulkarnay, Mohd. Talib, Masturah Tunnur, Pusppanathan, Jaysuman, Jamaludin, Juliza
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Published: Universiti Teknikal Malaysia Melaka 2018
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Online Access:http://eprints.utm.my/id/eprint/84192/
http://journal.utem.edu.my/index.php/jtec/article/view/4069
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.841922019-12-16T01:57:14Z http://eprints.utm.my/id/eprint/84192/ Simulation study of microwave imaging for brain disease diagnostic Sia, Stephanie Sok San Rahiman, Mohd. Hafiz Fazalul Zakaria, Zulkarnay Mohd. Talib, Masturah Tunnur Pusppanathan, Jaysuman Jamaludin, Juliza QH301 Biology 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. Universiti Teknikal Malaysia Melaka 2018 Article PeerReviewed Sia, Stephanie Sok San and Rahiman, Mohd. Hafiz Fazalul and Zakaria, Zulkarnay and Mohd. Talib, Masturah Tunnur and Pusppanathan, Jaysuman and Jamaludin, Juliza (2018) Simulation study of microwave imaging for brain disease diagnostic. Journal of Telecommunication, Electronic and Computer Engineering, 10 (1-16). pp. 21-26. ISSN 2180-1843 http://journal.utem.edu.my/index.php/jtec/article/view/4069 Volume , Issue , 2018, Pages -
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QH301 Biology
spellingShingle QH301 Biology
Sia, Stephanie Sok San
Rahiman, Mohd. Hafiz Fazalul
Zakaria, Zulkarnay
Mohd. Talib, Masturah Tunnur
Pusppanathan, Jaysuman
Jamaludin, Juliza
Simulation study of microwave imaging for brain disease diagnostic
description 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.
format Article
author Sia, Stephanie Sok San
Rahiman, Mohd. Hafiz Fazalul
Zakaria, Zulkarnay
Mohd. Talib, Masturah Tunnur
Pusppanathan, Jaysuman
Jamaludin, Juliza
author_facet Sia, Stephanie Sok San
Rahiman, Mohd. Hafiz Fazalul
Zakaria, Zulkarnay
Mohd. Talib, Masturah Tunnur
Pusppanathan, Jaysuman
Jamaludin, Juliza
author_sort Sia, Stephanie Sok San
title Simulation study of microwave imaging for brain disease diagnostic
title_short Simulation study of microwave imaging for brain disease diagnostic
title_full Simulation study of microwave imaging for brain disease diagnostic
title_fullStr Simulation study of microwave imaging for brain disease diagnostic
title_full_unstemmed Simulation study of microwave imaging for brain disease diagnostic
title_sort simulation study of microwave imaging for brain disease diagnostic
publisher Universiti Teknikal Malaysia Melaka
publishDate 2018
url http://eprints.utm.my/id/eprint/84192/
http://journal.utem.edu.my/index.php/jtec/article/view/4069
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