Performance investigation and element optimization of 2D array transducer using Bat Algorithm

• Autorzy: Tantawy Dina Mohamed , Eladawy Mohamed , Hassan Mohamed Alimaher , Mubarak Roaa

Identyfikatory

DOI

10.24425/aee.2020.133918

• Języki publikacji: EN

Abstrakty

EN

One of the least expensive and safest diagnostic modalities routinely used is ultrasound imaging. An attractive development in this field is a two-dimensional (2D) matrix probe with three-dimensional (3D) imaging. The main problems to implement this probe come from a large number of elements they need to use. When the number of elements is reduced the side lobes arising from the transducer change along with the grating lobes that are linked to the periodic disposition of the elements. The grating lobes are reduced by placing the elements without any consideration of the grid. In this study, the Binary Bat Algorithm (BBA) is used to optimize the number of active elements in order to lower the side lobe level. The results are compared to other optimization methods to validate the proposed algorithm.

Słowa kluczowe

EN

2D ultrasound arrays; Binary Bat Algorithm; genetic algorithm; optimization

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2020
• Tom: Vol. 69, nr 3
• Strony: 561--579
• Opis fizyczny: Bibliogr. 30 poz., rys., tab., wz.

Twórcy

autor

Tantawy Dina Mohamed

• Mechatronics Engineering and Automation Department, Faculty of Engineering Egyptian Chinese University Egypt

autor

Eladawy Mohamed

• Electronics and Communication Engineering Department, Faculty of Engineering Helwan University Egypt

autor

Hassan Mohamed Alimaher

• Department of Biomedical Engineering, Faculty of Engineering Helwan University Egypt

autor

Mubarak Roaa

• Electronics and Communication Engineering Department, Faculty of Engineering Helwan University Egypt

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).