An Efficient of Chimera Grid Scheme with Spline Interpolation in FBTS Inversion Technique for Extremely Dense Breast Cancer Detection

Wee, Boon Siong and Kismet, Hong Ping and Sahrani, S. (2021) An Efficient of Chimera Grid Scheme with Spline Interpolation in FBTS Inversion Technique for Extremely Dense Breast Cancer Detection. Journal of Physics: Conference Series, 1874. pp. 1-11. ISSN 1742-6596

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Official URL: https://iopscience.iop.org/article/10.1088/1742-65...

Abstract

Microwave imaging system is classified as non-invasive, simple to perform and inexpensive compared to MRI and X-Ray machine. Therefore, the novel idea of this research work is to develop a Chimera Grid Scheme (CGS) incorporate with the microwave inverse scattering technique in a low cost, non-ionising and safe short-range. The CGS with spline interpolation in Forward Backward Time-Stepping (FBTS) inversion technique can determined an accurate result especially for the biological anomalies like breast tumours at an early curable stage due to the high electrical properties contrast between malignant cells and normal cells. The findings showed that the proposed method successfully detected and reconstructed the breast structure in relative permittivity profiles. The quantitative information of reconstructed images, such as location, shape, size and internal composition also can be obtained. Furthermore, the normalised functional error for proposed method was also lower than the FDTD method in FBTS. At iteration, the difference of normalised functional error between these two methods was . The result shows that the CGS method in FBTS inversion technique would reconstruct breast composition more precisely.

Item Type: Article
Uncontrolled Keywords: Microwave imaging system, Chimera Grid Scheme, Forward Backward Time-Stepping (FBTS), breast tumours.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Engineering
Faculties, Institutes, Centres > Faculty of Engineering
Depositing User: Gani
Date Deposited: 11 Sep 2024 06:30
Last Modified: 11 Sep 2024 06:30
URI: http://ir.unimas.my/id/eprint/46000

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