DOE OSTI · 2575101
Image Reconstruction from Sparse-view Data Acquired with Portable X-ray Devices
Abstract
• Portable X-ray systems enable on-site 3D imaging for non-invasive inspection of suspicious packages and explosives. • Existing reconstruction algorithms (e.g., FDK or Feldkamp, Davis and Kress) require hundreds of projections over 360 degrees. • Sparse-view scan reduces scanning time and setup effort, making it ideal for field use in timecritical scenarios. • Existing reconstruction algorithms introduce severe artifacts when applied to sparse-view data. • We developed a total variation (TV)-based optimization algorithm for yielding 3D images from sparse-view data collected with our portable X-ray imaging system.
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Xia, Dan [University of Chicago, Chicago, IL], Duff, Martine C. [Savannah River National Laboratory (SRNL), Aiken, SC (United States)], Immel, David M. [Savannah River National Laboratory (SRNL), Aiken, SC (United States)], Dinova, Vincent A. [Savannah River National Laboratory (SRNL), Aiken, SC (United States)], Garrison, Jesse [Savannah River National Laboratory (SRNL), Aiken, SC (United States)], Sidky, Emil Y. [University of Chicago, Chicago, IL], Pan, Xiachuan [University of Chicago, Chicago, IL]. 2025-08-07. Image Reconstruction from Sparse-view Data Acquired with Portable X-ray Devices. https://doi.org/10.2172/2575101
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