A novel frequency-domain approach to the range migration algorithm for efficient medical image processing: Application in tumor detection and identification
This paper introduces a novel, computationally efficient range migration algorithm (RMA) specifically designed for medical microwave imaging applications. The proposed RMA achieves significant advancements over traditional methods, such as the Delay Multiply and Sum technique, by greatly reducing ch...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-11-01
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| Series: | Biomedical Engineering Advances |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667099225000453 |
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| author | Jaouad El Gueri Ibtisam Amdaouch Badiaa Ait Ahmed Juan Ruiz-Alzola Otman Aghzout |
| author_facet | Jaouad El Gueri Ibtisam Amdaouch Badiaa Ait Ahmed Juan Ruiz-Alzola Otman Aghzout |
| author_sort | Jaouad El Gueri |
| collection | DOAJ |
| description | This paper introduces a novel, computationally efficient range migration algorithm (RMA) specifically designed for medical microwave imaging applications. The proposed RMA achieves significant advancements over traditional methods, such as the Delay Multiply and Sum technique, by greatly reducing channel calculations and computational time while maintaining high image quality. The algorithm was validated using an antenna array system and a custom built phantom model. To further reduce noise and image artifacts after RMA application, Hamming, Gaussian, and Median filtering techniques were applied and compared. Notably, the Hamming filter significantly enhanced edge sharpness and improved tumor detection within human tissue compared to the other filters. A comprehensive complexity analysis was conducted to evaluate the algorithm’s efficiency and scalability, with a focus on computational time and resource utilization. Performance results offer valuable insights into the algorithm’s behavior across various operational conditions, Highlighting its potential to enhance healthcare diagnostics and improve patient outcomes, with promising prospects for future clinical adoption. |
| format | Article |
| id | doaj-art-7c42d8866def40ee919d9458d8abdaec |
| institution | DOAJ |
| issn | 2667-0992 |
| language | English |
| publishDate | 2025-11-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Biomedical Engineering Advances |
| spelling | doaj-art-7c42d8866def40ee919d9458d8abdaec2025-08-20T03:05:30ZengElsevierBiomedical Engineering Advances2667-09922025-11-011010018910.1016/j.bea.2025.100189A novel frequency-domain approach to the range migration algorithm for efficient medical image processing: Application in tumor detection and identificationJaouad El Gueri0Ibtisam Amdaouch1Badiaa Ait Ahmed2Juan Ruiz-Alzola3Otman Aghzout4Department of AI and Digitization, ISI Lab, ENSA-Tétouan, UAE, MoroccoDepartment of AI and Digitization, ISI Lab, ENSA-Tétouan, UAE, MoroccoIACTEC Medical Technology Group, Instituto de Astrofísica de Canarias (IAC), San Cristóbal de La Laguna, Spain; Universidad de La Laguna 38200, San Cristóbal de La Laguna, Santa Cruz de Tenerife, SpainIACTEC Medical Technology Group, Instituto de Astrofísica de Canarias (IAC), San Cristóbal de La Laguna, Spain; Research Institute in Biomedical and Health Science, University of Las Palmas de Gran Canaria, Las Palmas, SpainDepartment of AI and Digitization, ISI Lab, ENSA-Tétouan, UAE, Morocco; Corresponding author at: Department of AI and Digitization, ISI Lab, ENSA-Tétouan, UAE, Morocco.This paper introduces a novel, computationally efficient range migration algorithm (RMA) specifically designed for medical microwave imaging applications. The proposed RMA achieves significant advancements over traditional methods, such as the Delay Multiply and Sum technique, by greatly reducing channel calculations and computational time while maintaining high image quality. The algorithm was validated using an antenna array system and a custom built phantom model. To further reduce noise and image artifacts after RMA application, Hamming, Gaussian, and Median filtering techniques were applied and compared. Notably, the Hamming filter significantly enhanced edge sharpness and improved tumor detection within human tissue compared to the other filters. A comprehensive complexity analysis was conducted to evaluate the algorithm’s efficiency and scalability, with a focus on computational time and resource utilization. Performance results offer valuable insights into the algorithm’s behavior across various operational conditions, Highlighting its potential to enhance healthcare diagnostics and improve patient outcomes, with promising prospects for future clinical adoption.http://www.sciencedirect.com/science/article/pii/S2667099225000453Microwave imagingRMAImaging filtersCancer detection |
| spellingShingle | Jaouad El Gueri Ibtisam Amdaouch Badiaa Ait Ahmed Juan Ruiz-Alzola Otman Aghzout A novel frequency-domain approach to the range migration algorithm for efficient medical image processing: Application in tumor detection and identification Biomedical Engineering Advances Microwave imaging RMA Imaging filters Cancer detection |
| title | A novel frequency-domain approach to the range migration algorithm for efficient medical image processing: Application in tumor detection and identification |
| title_full | A novel frequency-domain approach to the range migration algorithm for efficient medical image processing: Application in tumor detection and identification |
| title_fullStr | A novel frequency-domain approach to the range migration algorithm for efficient medical image processing: Application in tumor detection and identification |
| title_full_unstemmed | A novel frequency-domain approach to the range migration algorithm for efficient medical image processing: Application in tumor detection and identification |
| title_short | A novel frequency-domain approach to the range migration algorithm for efficient medical image processing: Application in tumor detection and identification |
| title_sort | novel frequency domain approach to the range migration algorithm for efficient medical image processing application in tumor detection and identification |
| topic | Microwave imaging RMA Imaging filters Cancer detection |
| url | http://www.sciencedirect.com/science/article/pii/S2667099225000453 |
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