Multi-energy, Limited View Computed Tomography
R4-B2

Overview and Technical Approach

Problem:

  • Materials identification from limited multi-energy X-ray projection data
  • Focus on luggage screening application where few (< 10) projections are collected as object traverses scanner

Approach

  • Combine multi-linear (tensor-based) ideas with geometric inversion methods
  • Provide improved resolution and materials discrimination
  • New methods address real problems including metal artifact reduction and recovery of texture

Relevance to DHS

  • Luggage screening remains a challenging problem for DHS and TSA
  • Multi-energy X-ray systems have the potential for significantly improved accuracy in materials identification
  • Full realization of potential requires advanced image formation algorithms
  • Project formulated and will be executed in close collaboration with scientists at AS&E.
Project Leader
  • Eric Miller
    Professor
    Tufts University
    Email

  • Brian Tracey
    Research Assistant Professor
    Tufts University
    Email

Faculty and Staff Currently Involved in Project
  • Seth van Liew
    Research Scientist

    Email

Students Currently Involved in Project
  • Hao Zhang
    Tufts