Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

Image Reconstruction from Sparse-view Data Acquired with Portable X-ray Devices

Conference ·
DOI:https://doi.org/10.2172/2575101· OSTI ID:2575101
 [1];  [2];  [2];  [2];  [2];  [1];  [1]
  1. University of Chicago, Chicago, IL
  2. Savannah River National Laboratory (SRNL), Aiken, SC (United States)
+ Show Author Affiliations

• 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.

Research Organization:
Savannah River National Laboratory (SRNL), Aiken, SC (United States)
Sponsoring Organization:
DOE; EM
DOE Contract Number:
89303321CEM000080
OSTI ID:
2575101
Report Number(s):
SRNL-STI-2025-00517
Country of Publication:
United States
Language:
English

Similar Records

Tomographic Sparse View Selection Using the View Covariance Loss
Conference · Fri Aug 01 00:00:00 EDT 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence · OSTI ID:2584494
Beam hardening correction using iterative total variation (ITV)-based algorithm in CBCT reconstruction
Conference · Wed Jul 01 00:00:00 EDT 2015 · OSTI ID:22531408
Model-based reconstruction for enhanced x-ray CT of dense tri-structural isotropic particles
Conference · Mon Jan 31 23:00:00 EST 2022 · OSTI ID:1885390

Related Subjects