Integration of Image Segmentation Method in Inverse Scattering for Brain Tumour Detection

Kismet, Hong Ping and Joseph, Eustacius J. and Kuryati, Kipli and Shafrida, Sahrani and Dyg Norkhairunnisa, Abang Zaidel and Mohd Iqbal, Saripan and Mohamad Hamiruce, Marhaban and Dayang Azra, Awang Mat (2017) Integration of Image Segmentation Method in Inverse Scattering for Brain Tumour Detection. Progress In Electromagnetics Research M, 61. pp. 111-122. ISSN 1937-8726

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Official URL: http://www.jpier.org/PIERM/pier.php?paper=17070603

Abstract

This paper presents a microwave imaging for brain tumour detection utilizing ForwardBackward Time-Stepping (FBTS) inverse scattering technique. This technique is applied to solve electromagnetic scattered signals. It is proven that this technique is able to detect the presence of tumour in the breast. The application is now extended to brain imaging. Two types of results are presented in this paper; FBTS and FBTS integrated with image segmentation as a pre-processing step to form a focusing reconstruction. The results show that the latter technique has improved the reconstructions compared to the primary technique. Integration of the image segmentation step helps to reduce the variation of the estimated dielectric properties of the head tissues. It is also found that the optimal frequency used for microwave brain imaging is at 2 GHz and able to detect a tumour as small as 5 mm in diameter. The numerical simulations show that the integration of image segmentation with FBTS has the potential to provide useful quantitative information on the head internal composition.

Item Type: Article
Uncontrolled Keywords: Brain Tumour, Forward-Backward Time-Stepping (FBTS) , microwave imaging, brain imaging, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Depositing User: Gani
Date Deposited: 19 Aug 2020 07:49
Last Modified: 19 Aug 2020 07:49
URI: http://ir.unimas.my/id/eprint/31288

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