Previous work to detect defects in food packaging seals using pulse-echo ul
trasound inspired the backscattered amplitude integral (BAI) imaging techni
que, which could reliably identify channels with diameters 38 mu m or large
r at a center frequency of 17.3 MHz (lambda = 86 mu m). The current study p
resents two new processing techniques that more reliably reveal smaller cha
nnels (approximate to 6 mu m in diameter). The RF sampling technique (RFS)
displays a single, time-gated, pressure value from the received (not envelo
pe-detected) RF waveform at each transducer position. The RF correlation te
chnique (RFC) calculates the correlation coefficients of the RF signals wit
h a reference signal that does not pass through a channel. The correlation
coefficient can be calculated for the entire RF signal (RFCE) or over a sho
rt segment of the RF signal (RFCS). The performance of these imaging method
s for detecting channel defects is investigated for plastic and aluminum fo
il trilaminate films with 6, 10, 15, 38, and 50 mu m channels filled with w
ater or air. Data are collected with a focused ultrasound transducer (17.3
MHz, 6.35 mm in diameter, f/2, 173 mu m -6 dB pulse-echo lateral beamwidth
at the focus) scanned over a rectangular grid, keeping the package in the f
ocus. Performance is measured using detection rates, image contrast, and co
ntrast-to-noise ratio (CNR). Both RFS and RFCS have improved detection rate
s relative to BAI for channels 15 mu m or smaller, The RFCS technique is th
e most effective at smoothing the background, leading to the greatest CNR i
mprovements.