Advanced Cargo CT
R4-C3

Development of advanced CT reconstruction methods for cargo screening

  • Develop accurate physics-based model of high energy cargo sensing
  • Accurate modeling and inclusion of scatter, noise, etc.
  • Model-based image reconstruction from limited angle measurements, use of local tomography methods
  • Application of compressed sensing methods for improved image quality

Relevance to the Homeland Security Enterprise

  • Generation of fully 3D cargo imagery from static X-ray sensing
  • Enhanced object localization and classification
  • Reduction of false alarms
  • Increase in sensitivity and detection of objects of interest.
Project Leader
  • W. Clem Karl
    Professor
    Boston University
    Email

  • David Castañón
    Professor
    Boston University
    Email

Students Currently Involved in Project
  • Zachary Sun
    Boston University