4.3 Article

Sub-pixel energy-weighting techniques for metallic contaminant highlighting in a pharmaceutical hard capsule using a Timepix3 CdZnTe hybrid pixel detector

期刊

JOURNAL OF INSTRUMENTATION
卷 17, 期 10, 页码 -

出版社

IOP Publishing Ltd
DOI: 10.1088/1748-0221/17/10/P10030

关键词

Analysis and statistical methods; Inspection with x-rays; X-ray detectors

资金

  1. German Research Foundation [DFG PR 1897/1-1]
  2. German Federal Ministry of Education and Research (BMBF) [01DN21005]

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This work presents the capabilities of a state-of-the-art spectroscopic photon-counting hybrid pixel detector for non-destructive testing, particularly for contaminant detection in the food and pharmaceutical industries. By combining sub-pixel imaging with spectroscopic imaging analysis, different substances can be distinguished and contaminant visibility can be enhanced. The results demonstrate the feasibility of this technique for material visibility enhancement.
The presented work describes the capabilities of a state-of-the-art spectroscopic photon-counting hybrid pixel detector for use in non-destructive testing, as a contaminant detector with potential uses in the food and pharmaceutical industries. A pharmaceutical hard capsule containing vitamin powder, contaminated with Steel (ST) and Tungsten (W) was prepared under controlled conditions. Both contaminants are distinguished from the powder by combining sub-pixel imaging with spectroscopic imaging analysis, made possible by the use of a 2 mm CdZnTe sensor coupled to a Timepix3 ASIC, operated in Time-over-Threshold and Time-of-Arrival mode. The subpixelization technique achieves a spatial resolution of 18.3 mu m, with a maximum photon flux of 2.5 x 10(6 )photons/s. cm(2). For the spectral analysis technique implemented, each energy bin image is energy-weighted, with weights optimally defined by considering the bin contrast and noise behavior, and combined to form an integrated-spectrum enhanced image with increased contaminant visibility. Contrast-to-Noise Ratio (CNR) for each contaminant type was used for performance assessment of the approach. A CNR increase of 106% above the reference unweighted-spectrum image was achieved for the ST contaminant, while the denser W contaminant showed a CNR increase of 80%. This means that the presented spectroscopic imaging technique is feasible for implementation in material visibility enhancement.

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