High contrast ultrasound images of defects in food package seals

Citation
Ch. Fazier et al., High contrast ultrasound images of defects in food package seals, IEEE ULTRAS, 47(3), 2000, pp. 530-539
Citations number
11
Categorie Soggetti
Optics & Acoustics
Journal title
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
ISSN journal
08853010 → ACNP
Volume
47
Issue
3
Year of publication
2000
Pages
530 - 539
Database
ISI
SICI code
0885-3010(200005)47:3<530:HCUIOD>2.0.ZU;2-C
Abstract
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.