English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Food x-ray inspection systems are designed to detect unwanted physicalcontaminants in packaged food to maintain a high level of food safety forconsumers. Modern day x-ray inspection systems often utilize line scan sensorsto detect these physical contaminants but are limited to single or dualenergies. However, by using a photon counting detector (PCD), a new generationof food inspection systems capable of acquiring images at more than two energybins could improve discrimination between low density contaminants. In thiswork, five type of contaminants were embedded in an acrylic phantom and imagedusing a cadmium zinc telluride (CZT) PCD with a pixel pitch of 330 um. A set ofimages were acquired while the phantom was stationary, and another set ofimages were acquired while the phantom was moving to mimic the movement of aconveyor belt. Image quality was assessed by evaluating the contrast-to-noiseratio (CNR) for each set of images. For imaging times larger than 25 ms, theresults showed that the moving phantom data set yielded larger CNR valuescompared to a stationary phantom. While conventional x-ray inspections oftenutilize line scan sensors, we report that physical contaminant detection ispossible with a CZT PCD x-ray imaging system.

Contaminant detection using a CZT photon counting detector with TDI image reconstruction