| Micromachines | |
| Microwave Imaging of Breast Skin Utilizing Elliptical UWB Antenna and Reverse Problems Algorithm | |
| Asmala Ahmad1  Sameer Alani1  Tale Saeidi2  Zahriladha Zakaria3  Qammer H. Abbasi4  Muhammad Ali Imran4  | |
| [1] Center for Advanced Computing Technolgy (C-ACT), Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka 76100, Malaysia;Electrical and Electronic Engineering Department of Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia;Faculty of Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka (UTeM), Durian Tunggal, Melaka 76100, Malaysia;James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK; | |
| 关键词: UWB antennas; skin cancer; reverse problems; microwave imaging; | |
| DOI : 10.3390/mi12060647 | |
| 来源: DOAJ | |
【 摘 要 】
Skin cancer is one of the most widespread and fast growing of all kinds of cancer since it affects the human body easily due to exposure to the Sun’s rays. Microwave imaging has shown better outcomes with higher resolution, faster processing time, mobility, and less cutter and artifact effects. A miniaturized elliptical ultra-wideband (UWB) antenna and its semi-spherical array arrangement were used for signal transmission and reception from the defected locations in the breast skin. Several conditions such as various arrays of three, six, and nine antenna elements, smaller tumor, multi-tumors, and skin on a larger breast sample of 30 cm were considered. To assess the ability of the system, a breast shape container with a diameter of 130 mm and height of 60 mm was 3D printed and then filled with fabricated skin and breast fat to perform the experimental investigation. An improved modified time-reversal algorithm (IMTR) was used to recreate 2D images of tumors with the smallest radius of 1.75 mm in any location within the breast skin. The reconstructed images using both simulated and experimental data verified that the system can be a reliable imaging system for skin cancer diagnosis having a high structural similarity index and resolution.
【 授权许可】
Unknown