Optimal Design of Sparse Matrix Phased Array Using Simulated Annealing for Volumetric Ultrasonic Imaging with Total Focusing Method; Sensors; Vol. 24, iss. 6
| Parent link: | Sensors.— .— Basel: MDPI Vol. 24, iss. 6.— 2024.— Article number 1856, 15 p. |
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| Shrnutí: | Title screen The total focusing method (TFM) is often considered to be the ‘gold standard’ for ultrasonic imaging in the field of nondestructive testing. The use of matrix phased arrays as probes allows for high-resolution volumetric TFM imaging. Conventional TFM imaging involves the use of full matrix capture (FMC) for ultrasonic signals acquisition, but in the case of a matrix phased array, this approach is associated with a huge volume of data to be acquired and processed. This severely limits the frame rate of volumetric imaging with 2D probes and necessitates the use of high-end equipment. Thus, the aim of this research was to develop a novel design method for determining the optimal sparse 2D probe configuration for specific conditions of ultrasonic imaging. The developed approach is based on simulated annealing and involves implementing the solution of the sparse matrix phased array layout optimization problem. In order to implement simulated annealing for the aforementioned task, its parameters were set, the acceptance function was introduced, and the approaches were proposed to compute beam directivity diagrams of sparse matrix phased arrays in TFM imaging. Experimental studies have shown that the proposed approach provides high-quality volumetric imaging with a decrease in data volume of up to 84% compared to that obtained using the FMC data acquisition method Текстовый файл |
| Jazyk: | angličtina |
| Vydáno: |
2024
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| On-line přístup: | https://doi.org/10.3390/s24061856 |
| Médium: | Elektronický zdroj Kapitola |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=672036 |
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| 200 | 1 | |a Optimal Design of Sparse Matrix Phased Array Using Simulated Annealing for Volumetric Ultrasonic Imaging with Total Focusing Method |f D. O. Dolmatov, V. Yu. Zhvyrblya | |
| 300 | |a Title screen | ||
| 320 | |a References: 29 tit. | ||
| 330 | |a The total focusing method (TFM) is often considered to be the ‘gold standard’ for ultrasonic imaging in the field of nondestructive testing. The use of matrix phased arrays as probes allows for high-resolution volumetric TFM imaging. Conventional TFM imaging involves the use of full matrix capture (FMC) for ultrasonic signals acquisition, but in the case of a matrix phased array, this approach is associated with a huge volume of data to be acquired and processed. This severely limits the frame rate of volumetric imaging with 2D probes and necessitates the use of high-end equipment. Thus, the aim of this research was to develop a novel design method for determining the optimal sparse 2D probe configuration for specific conditions of ultrasonic imaging. The developed approach is based on simulated annealing and involves implementing the solution of the sparse matrix phased array layout optimization problem. In order to implement simulated annealing for the aforementioned task, its parameters were set, the acceptance function was introduced, and the approaches were proposed to compute beam directivity diagrams of sparse matrix phased arrays in TFM imaging. Experimental studies have shown that the proposed approach provides high-quality volumetric imaging with a decrease in data volume of up to 84% compared to that obtained using the FMC data acquisition method | ||
| 336 | |a Текстовый файл | ||
| 461 | 1 | |t Sensors |n MDPI |c Basel | |
| 463 | 1 | |t Vol. 24, iss. 6 |v Article number 1856, 15 p. |d 2024 | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a ultrasonic nondestructive testing | |
| 610 | 1 | |a ultrasonic imaging | |
| 610 | 1 | |a total focusing method | |
| 610 | 1 | |a matrix phased arrays | |
| 610 | 1 | |a sparse phased arrays | |
| 610 | 1 | |a optimization task | |
| 610 | 1 | |a sparse array optimization | |
| 610 | 1 | |a stochastic optimization methods | |
| 610 | 1 | |a simulated annealing | |
| 700 | 1 | |a Dolmatov |b D. O. |c specialist in the field of nuclear technologies |c Researcher of Tomsk Polytechnic University, Candidate of Technical Sciences |f 1992- |g Dmitry Olegovich |9 19940 | |
| 701 | 1 | |a Zhvyrblya |b V. Yu. |c specialist in the field of non-destructive testing |c engineer of Tomsk Polytechnic University |f 1992- |g Vadim Yurievich |9 19942 | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |c (2009- ) |9 26305 |
| 801 | 0 | |a RU |b 63413507 |c 20240404 |g RCR | |
| 856 | 4 | 0 | |u https://doi.org/10.3390/s24061856 |z https://doi.org/10.3390/s24061856 |
| 942 | |c CR | ||