| Issue |
E3S Web Conf.
Volume 680, 2025
The 4th International Conference on Energy and Green Computing (ICEGC’2025)
|
|
|---|---|---|
| Article Number | 00007 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/e3sconf/202568000007 | |
| Published online | 19 December 2025 | |
A time-domain backprojection approach for medical image reconstruction: Advancements in tumor detection and identification
1 Dept. of Artificial Intelligence and Digitalization, ENSA-Tetouan, UAE-Morocco.
2 IACTEC Medical Technology Group, Instituto de Astrofísica de Canarias (IAC), San Cristóbal de La Laguna, Spain.
3 Universidad de La Laguna 38200, San Cristóbal de La Laguna, Santa Cruz de Tenerife, Spain.
4 Research Institute in Biomedical and Health Science, University of Las Palmas de Gran Canaria, Spain.
* e-mail: otmanaghzout@uae.ac.ma
This paper presents a novel Backprojection Algorithm (BPA) aimed at improving tumor detection efficiency in medical microwave imaging. Operating in the time domain, the BPA enables rapid image reconstruction and real-time processing, ideal for dynamic medical applications. The algorithm is tested using an antenna array and phantom model, incorporating Hamming, Gaussian, and Median filters to reduce noise and distortion. Among them, the Hamming filter offers the best improvement in edge definition and tumor detection. A complexity analysis evaluates the algorithm’s efficiency and scalability, focusing on computational time and resource use. The results suggest that the algorithm has the potential to enhance healthcare diagnostics and improve patient outcomes, enabling clinical implementation.
© The Authors, published by EDP Sciences, 2025
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