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High contrast ultrasound images of defects in food package seals

机译:食品包装封口中缺陷的高对比度超声图像

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Previous work to detect defects in food packaging seals usingnpulse-echo ultrasound inspired the backscattered amplitude integraln(BAI) imaging technique, which could reliably identify channels withndiameters 38 Μm or larger at a center frequency of 17.3 MHzn(Λ=86 Μm). The current study presents two new processingntechniques that more reliably reveal smaller channels (≈6 Μm inndiameter). The RF sampling technique (RFS) displays a single,ntime-gated, pressure value from the received (not envelope-detected) RFnwaveform at each transducer position. The RF correlation technique (RFC)ncalculates the correlation coefficients of the RF signals with anreference signal that does not pass through a channel. The correlationncoefficient can be calculated for the entire RF signal (RFCE) or over anshort segment of the RF signal (RFCS). The performance of these imagingnmethods for detecting channel defects is investigated for plastic andnaluminum foil trilaminate films with 6, 10, 15, 38, and 50 Μmnchannels filled with water or air. Data are collected with a focusednultrasound transducer (17.3 MHz, 6.35 mm in diameter, f/2, 173 Μm -6ndB pulse-echo lateral beamwidth at the focus) scanned over a rectangularngrid, keeping the package in the focus. Performance is measured usingndetection rates, image contrast, and contrast-to-noise ratio (CNR). BothnRFS and RFCS have improved detection rates relative to BAI for channelsn15 Μm or smaller. The RFCS technique is the most effective atnsmoothing the background, leading to the greatest CNR improvements
机译:先前使用脉冲回波超声检测食品包装封口中的缺陷的工作启发了背向散射振幅积分(BAI)成像技术,该技术可以可靠地识别中心频率为17.3 MHzn(Λ= 86μm)的直径为38μm或更大的通道。当前的研究提出了两种新的加工技术,它们更可靠地揭示了较小的通道(直径约6微米)。 RF采样技术(RFS)在每个换能器位置显示来自接收到的(未检测到包络的)RFn波形的单个n时间门控压力值。 RF相关技术(RFC)n计算RF信号与不通过通道的参考信号的相关系数。可以为整个RF信号(RFCE)或在RF信号的一小段(RFCS)上计算相关系数。对具有6、10、15、38和50 Mmn通道充满水或空气的塑料和铝箔三层压膜研究了这些成像方法检测通道缺陷的性能。在矩形矩形扫描仪上扫描聚焦超声探头(聚焦时为17.3 MHz,直径为6.35 mm,f / 2,173 Mm -6ndB脉冲回波横向波束宽度)收集数据,以确保包装处于聚焦状态。使用检测率,图像对比度和对比度噪声比(CNR)来衡量性能。对于15微米或更小的通道,nRFS和RFCS相对于BAI都有提高的检测率。 RFCS技术是平滑背景的最有效方法,可最大程度地改善CNR

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