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Simulation Study of Microwave Imaging for Brain Disease Diagnostic

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dc.FundingDetailsMinistry of Higher Education, Malaysia,�MOHE: FRGS/1/2015/WAB07/UNIMAP/02/1
dc.FundingDetailsThe authors are grateful for the funding from the Ministry of Higher Education Malaysia under FRGS Grant (FRGS/1/2015/WAB07/UNIMAP/02/1).
dc.contributor.affiliationsFaculty of Engineering and Built Environment
dc.contributor.affiliationsUniversiti Malaysia Perlis (UniMAP)
dc.contributor.affiliationsUniversiti Teknologi Malaysia (UTM)
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorSan S.S.S.en_US
dc.contributor.authorRahiman M.H.F.en_US
dc.contributor.authorZakaria Z.en_US
dc.contributor.authorTalib M.T.M.en_US
dc.contributor.authorPusppanathan J.en_US
dc.contributor.authorJamaludin J.en_US
dc.date.accessioned2024-05-28T08:38:45Z
dc.date.available2024-05-28T08:38:45Z
dc.date.issued2018
dc.descriptionVol. 10 No. 1-16: Recent Trends in Biomedical Engineering Systems and Technologiesen_US
dc.description.abstractBrain 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. � 2018 Universiti Teknikal Malaysia Melaka. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.citationSan, 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/4069en_US
dc.identifier.epage26
dc.identifier.issn21801843
dc.identifier.issue42370
dc.identifier.scopus2-s2.0-85048528815
dc.identifier.spage21
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85048528815&partnerID=40&md5=b376a3a87d47b51bc6c52607bad38115
dc.identifier.urihttps://jtec.utem.edu.my/jtec/article/view/4069
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/9223
dc.identifier.volume10
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherUniversiti Teknikal Malaysia Melakaen_US
dc.relation.ispartofJournal of Telecommunication, Electronic and Computer Engineeringen_US
dc.sourceScopus
dc.subjectBrain Tumouren_US
dc.subjectFinite Element Modellingen_US
dc.subjectLinear Back Projectionen_US
dc.subjectMicrowave Imagingen_US
dc.titleSimulation Study of Microwave Imaging for Brain Disease Diagnosticen_US
dc.typeArticleen_US
dspace.entity.typePublication

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