超声全聚焦成像校正模型及加速算法
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1.天津大学 精密测试技术及仪器国家重点实验室天津300072;2.天津职业技术师范大学 天津市信息传感与智能控制重点实验室天津300222

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TH878TB553

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国家自然科学基金项目(61473205,61374219)、教育部博士点基金(20130032130001)、国家重点研发计划(2016YFF0101800)项目资助


Correction model and accelerating algorithm for ultrasonic total focusing method
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1. State Key Laboratory of Precision Measurement Technology and Instrument,Tianjin University,Tianjin 300072,China; 2. Tianjin Key Laboratory of Information Sensing & Intelligent Control,Tianjin University of Technology and Education,Tianjin 300222,China

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    摘要:

    超声全聚焦成像算法是一种基于全矩阵数据的成像技术,具有成像精度高、缺陷表征能力强的优点,但也存在数据量大、计算时间长、近表面区域噪声较大的缺点,目前主要应用于后处理成像。针对以上问题,建立了基于阵元指向性函数的成像校正模型;结合并行计算设备,提出了基于三角矩阵数据采集和索引技术的成像加速算法。使用16阵元相控阵探头对带有人工通孔的铝制试块进行检测试验,结果表明,使用加速算法可以将每帧图像成像时间缩短至135 ms以内,满足实时成像的要求;添加校正模型后,对于图像近表面区域噪声抑制效果明显,降低了伪缺陷出现的可能性,提高了图像信噪比。

    Abstract:

    Ultrasonic phased array full focusing method is an imaging algorithm based on full matrix data. It exhibits advantages of high imaging accuracy and great defect characterization ability, while there are some disadvantages, such as large amount of data, long computation time and large nearsurface noise. At present it is mainly used in postprocessing imaging. A correction model based on the angular directivity function is established, and an accelerating algorithm based on triangular matrix data capture and data index technology is designed, combining with parallel computing device. It is tested on an aluminum block with artificial holes with a 16element phased array probe. The result shows that time consumption of each image is decreased to less than 135 ms with the accelerating algorithm, which can be deemed realtime. The correction model is helpful to decrease nearsurface noise, reduce false defects, and improve signal to noise ratio of the image.

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贾乐成,陈世利,白志亮,曾周末,杨晓霞.超声全聚焦成像校正模型及加速算法[J].仪器仪表学报,2017,38(7):1589-1596

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  • 在线发布日期: 2017-08-07
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