Advanced Model-Based Iterative Reconstruction for Luggage Screening
R4-B1

Overview and technical approach

  • Develop Model-Based Iterative Reconstruction (MBIR) methods for application in hold-baggage screening
    • Enhance system and image models
    • Fast reconstruction algorithms
    • Mapping to high-performance hardware
  • Integrated reconstruction/segmentation/ATR
    • Combine algorithms to reduce artifacts
    • Improve classification accuracy

Relevance to the Homeland Security Enterprise

  • Reduced false alarm rates => reduced cost
  • More flexible system design
  • Enhanced detection performance
Project Leader
  • Charles A. Bouman
    Professor
    Purdue University
    Email

  • Ken D.Sauer
    Professor
    Notre Dame University
    Email

  • Pengchong Jin
    Doctoral Candidate
    Purdue University
    Email