Suppr超能文献

使用模拟退火算法的稀疏矩阵相控阵优化设计用于全聚焦方法的容积超声成像

Optimal Design of Sparse Matrix Phased Array Using Simulated Annealing for Volumetric Ultrasonic Imaging with Total Focusing Method.

作者信息

Dolmatov Dmitry Olegovich, Zhvyrblya Vadim Yurevich

机构信息

School of Non-Destructive Testing, National Research Tomsk Polytechnic University, 30 Lenin Avenue, 634050 Tomsk, Russia.

出版信息

Sensors (Basel). 2024 Mar 14;24(6):1856. doi: 10.3390/s24061856.

Abstract

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.

摘要

全聚焦方法(TFM)通常被认为是无损检测领域超声成像的“金标准”。使用矩阵相控阵作为探头可实现高分辨率体积TFM成像。传统的TFM成像涉及使用全矩阵采集(FMC)来获取超声信号,但对于矩阵相控阵而言,这种方法会产生大量需要采集和处理的数据。这严重限制了二维探头体积成像的帧率,并且需要使用高端设备。因此,本研究的目的是开发一种新颖的设计方法,用于确定在特定超声成像条件下的最佳稀疏二维探头配置。所开发的方法基于模拟退火,涉及解决稀疏矩阵相控阵布局优化问题。为了针对上述任务实施模拟退火,设置了其参数,引入了接受函数,并提出了在TFM成像中计算稀疏矩阵相控阵波束指向性图的方法。实验研究表明,与使用FMC数据采集方法相比,所提出的方法能够提供高质量的体积成像,同时数据量减少高达84%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b59/10975340/7202600e8f17/sensors-24-01856-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验