Information-theoretic analysis of x-ray scatter and phase architectures for anomaly detection

David Coccarelli, Qian Gong, Razvan Ionut Stoian, Joel A. Greenberg, Michael E. Gehm, Yuzhang Lin, Liang Chih Huang, Amit Ashok

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Conventional performance analysis of detection systems confounds the effects of the system architecture (sources, detectors, system geometry, etc.) with the effects of the detection algorithm. Previously, we introduced an information-theoretic approach to this problem by formulating a performance metric, based on Cauchy-Schwarz mutual information, that is analogous to the channel capacity concept from communications engineering. In this work, we discuss the application of this metric to study novel screening systems based on x-ray scatter or phase. Our results show how effective use of this metric can impact design decisions for x-ray scatter and phase systems.

Original languageEnglish (US)
Title of host publicationAnomaly Detection and Imaging with X-Rays (ADIX)
PublisherSPIE
Volume9847
ISBN (Electronic)9781510600881
DOIs
StatePublished - 2016
EventAnomaly Detection and Imaging with X-Rays (ADIX) Conference - Baltimore, United States
Duration: Apr 19 2016Apr 20 2016

Other

OtherAnomaly Detection and Imaging with X-Rays (ADIX) Conference
CountryUnited States
CityBaltimore
Period4/19/164/20/16

Fingerprint

information analysis
Information analysis
Anomaly Detection
Scatter
anomalies
channel capacity
X rays
Channel capacity
Screening
x rays
screening
communication
engineering
Detectors
Metric
Channel Capacity
Geometry
detectors
Communication
Performance Metrics

Keywords

  • High Dimensionality
  • Information Theory
  • Simulation
  • X-Ray Phase
  • X-Ray Scatter
  • X-Ray System Architecture
  • X-Ray System Geometry

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

Coccarelli, D., Gong, Q., Stoian, R. I., Greenberg, J. A., Gehm, M. E., Lin, Y., ... Ashok, A. (2016). Information-theoretic analysis of x-ray scatter and phase architectures for anomaly detection. In Anomaly Detection and Imaging with X-Rays (ADIX) (Vol. 9847). [98470B] SPIE. https://doi.org/10.1117/12.2223175

Information-theoretic analysis of x-ray scatter and phase architectures for anomaly detection. / Coccarelli, David; Gong, Qian; Stoian, Razvan Ionut; Greenberg, Joel A.; Gehm, Michael E.; Lin, Yuzhang; Huang, Liang Chih; Ashok, Amit.

Anomaly Detection and Imaging with X-Rays (ADIX). Vol. 9847 SPIE, 2016. 98470B.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Coccarelli, D, Gong, Q, Stoian, RI, Greenberg, JA, Gehm, ME, Lin, Y, Huang, LC & Ashok, A 2016, Information-theoretic analysis of x-ray scatter and phase architectures for anomaly detection. in Anomaly Detection and Imaging with X-Rays (ADIX). vol. 9847, 98470B, SPIE, Anomaly Detection and Imaging with X-Rays (ADIX) Conference, Baltimore, United States, 4/19/16. https://doi.org/10.1117/12.2223175
Coccarelli D, Gong Q, Stoian RI, Greenberg JA, Gehm ME, Lin Y et al. Information-theoretic analysis of x-ray scatter and phase architectures for anomaly detection. In Anomaly Detection and Imaging with X-Rays (ADIX). Vol. 9847. SPIE. 2016. 98470B https://doi.org/10.1117/12.2223175
Coccarelli, David ; Gong, Qian ; Stoian, Razvan Ionut ; Greenberg, Joel A. ; Gehm, Michael E. ; Lin, Yuzhang ; Huang, Liang Chih ; Ashok, Amit. / Information-theoretic analysis of x-ray scatter and phase architectures for anomaly detection. Anomaly Detection and Imaging with X-Rays (ADIX). Vol. 9847 SPIE, 2016.
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