Evidence map›Paper›PMID 36286358›Full record

ArticleJournal of imaging2022

A 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 Detection.

Ibtisam Amdaouch, Mohamed Saban, Jaouad El Gueri, Mohamed Zied Chaari, Ana Vazquez Alejos, Juan Ruiz Alzola, Alfredo Rosado Muñoz, Otman Aghzout

Abstract read
In one paragraph

Article in Journal of imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ibtisam AmdaouchDepartment of Computer Science Engineering, Système d'Information et Gènie Logiciel-Lab, École Nationale des Science Appliquèes (ENSA), University Abdelmalek Essaadi, Tetouan 93153, Morocco.ORCID 0000-0002-6578-012X
Mohamed SabanDepartment of Computer Science Engineering, Système d'Information et Gènie Logiciel-Lab, École Nationale des Science Appliquèes (ENSA), University Abdelmalek Essaadi, Tetouan 93153, Morocco.ORCID 0000-0003-3412-8574
Jaouad El GueriDepartment of Computer Science Engineering, Système d'Information et Gènie Logiciel-Lab, École Nationale des Science Appliquèes (ENSA), University Abdelmalek Essaadi, Tetouan 93153, Morocco.ORCID 0000-0001-8180-3398
Mohamed Zied ChaariDepartment of Qatar Scientific Club, Fabrication Lab, Doha 9769, Qatar.ORCID 0000-0002-8770-9420
Ana Vazquez AlejosatlanTTic, Sistemas Radio, University of Vigo, 36310 Vigo, Spain.ORCID 0000-0003-3426-2909
Juan Ruiz AlzolaDepartment of Señales y Comunicaciones, University of Las Palmas de Gran Canaria, 35001 Las Palmas, Spain.ORCID 0000-0002-3545-2328
Alfredo Rosado MuñozDepartment of Electronic Engineering, Escola Tècnica Superior d'Enginyeria (ETSE), University Valencia, Av. Universitat, 46100 Burjassot, Spain.ORCID 0000-0002-0429-0573
Otman AghzoutDepartment of Computer Science Engineering, Système d'Information et Gènie Logiciel-Lab, École Nationale des Science Appliquèes (ENSA), University Abdelmalek Essaadi, Tetouan 93153, Morocco.ORCID 0000-0001-9097-8069

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 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.

Indexed as

breast cancer detectionconfocal algorithmimage reconstructionmicrowave imagingspecific absorption rateVivaldi antenna

Identifiers

PMID36286358
PMCPMC9604866

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.