Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/121221
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dc.contributor.authorAmdaouch, Ibtisamen_US
dc.contributor.authorSaban, Mohameden_US
dc.contributor.authorEl Gueri, Jaouaden_US
dc.contributor.authorChaari, Mohamed Zieden_US
dc.contributor.authorVazquez Alejos, Anaen_US
dc.contributor.authorRuiz Alzola, Juan Bautistaen_US
dc.contributor.authorRosado Muñoz, Alfredoen_US
dc.contributor.authorAghzout, Otmanen_US
dc.date.accessioned2023-03-16T07:43:13Z-
dc.date.available2023-03-16T07:43:13Z-
dc.date.issued2022en_US
dc.identifier.issn2313-433Xen_US
dc.identifier.urihttp://hdl.handle.net/10553/121221-
dc.description.abstractIn this article, a new efficient and robust approach—the high-resolution microwave imaging system—for early breast cancer diagnosis is presented. The core concept of the proposed approach is to employ a combination of a newly proposed delay-and-sum (DAS) algorithm and the specific absorption rate (SAR) parameter to provide high image quality of breast tumors, along with fast image processing. The new algorithm enhances the tumor response by altering the parameter referring to the distance between the antenna and the tumor in the conventional DAS matrices. This adjustment entails a much clearer reconstructed image with short processing time. To achieve these aims, a high directional Vivaldi antenna is applied around a simulated hemispherical breast model with an embedded tumor. The detection of the tumor is carried out by calculating the maximum value of SAR inside the breast model. Consequently, the antenna position is relocated near the tumor region and is moved to nine positions in a trajectory path, leading to a shorter propagation distance in the image-creation process. At each position, the breast model is illuminated with short pulses of low power waves, and the back-scattered signals are recorded to produce a two-dimensional image of the scanned breast. Several simulations of testing scenarios for reconstruction imaging are investigated. These simulations involve different tumor sizes and materials. The influence of the number of antennas on the reconstructed images is also examined. Compared with the results from the conventional DAS, the proposed technique significantly improves the quality of the reconstructed images, and it detects and localizes the cancer inside the breast with high quality in a fast computing time, employing fewer antennas.en_US
dc.languageengen_US
dc.relation.ispartofJournal of Imagingen_US
dc.sourceJournal of Imaging [ISSN 2313-433X], v. 8 (10), 264, (Septiembre 2022)en_US
dc.subject.otherSpecific absorption rateen_US
dc.subject.otherMicrowave imagingen_US
dc.subject.otherBreast cancer detectionen_US
dc.subject.otherVivaldi antennaen_US
dc.subject.otherImage reconstructionen_US
dc.subject.otherConfocal algorithmen_US
dc.titleA Novel Approach of a Low-Cost UWB Microwave Imaging System with High Resolution Based on SAR and a New Fast Reconstruction Algorithm for Early-Stage Breast Cancer Detectionen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/jimaging8100264en_US
dc.identifier.scopus2-s2.0-85140580566-
dc.identifier.isiWOS:000873127300001-
dc.contributor.orcid0000-0002-6578-012X-
dc.contributor.orcid0000-0003-3412-8574-
dc.contributor.orcid0000-0001-8180-3398-
dc.contributor.orcid0000-0002-8770-9420-
dc.contributor.orcid0000-0003-3426-2909-
dc.contributor.orcid0000-0002-3545-2328-
dc.contributor.orcid0000-0002-0429-0573-
dc.contributor.orcid0000-0001-9097-8069-
dc.identifier.issue10-
dc.relation.volume8en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.description.notasThis article belongs to the Special Issue Advances in IoMT, Deep Learning and Computer Vision for Mammographic Image Analysisen_US
dc.utils.revisionen_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-TELen_US
dc.description.sjr0,595
dc.description.jcr0,56
dc.description.sjrqQ2
dc.description.jcrqQ3
dc.description.esciESCI
dc.description.miaricds9,3
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR IUIBS: Patología y Tecnología médica-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-3545-2328-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.fullNameRuiz Alzola, Juan Bautista-
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