Estimation and detection information trade-off for x-ray system optimization

Johnathan B. Cushing, Eric W Clarkson, Sagar Mandava, Ali Bilgin

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

Abstract

X-ray Computed Tomography (CT) systems perform complex imaging tasks to detect and estimate system parameters, such as a baggage imaging system performing threat detection and generating reconstructions. This leads to a desire to optimize both the detection and estimation performance of a system, but most metrics only focus on one of these aspects. When making design choices there is a need for a concise metric which considers both detection and estimation information parameters, and then provides the user with the collection of possible optimal outcomes. In this paper a graphical analysis of Estimation and Detection Information Trade-off (EDIT) will be explored. EDIT produces curves which allow for a decision to be made for system optimization based on design constraints and costs associated with estimation and detection. EDIT analyzes the system in the estimation information and detection information space where the user is free to pick their own method of calculating these measures. The user of EDIT can choose any desired figure of merit for detection information and estimation information then the EDIT curves will provide the collection of optimal outcomes. The paper will first look at two methods of creating EDIT curves. These curves can be calculated using a wide variety of systems and finding the optimal system by maximizing a figure of merit. EDIT could also be found as an upper bound of the information from a collection of system. These two methods allow for the user to choose a method of calculation which best fits the constraints of their actual system.

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

Trade-offs
X rays
optimization
Optimization
x rays
Curve
curves
figure of merit
Figure
baggage
Choose
Optimal systems
X-ray Tomography
Metric
Optimal System
Computed Tomography
Imaging systems
complex systems
Imaging System
Tomography

Keywords

  • Imaging system optimization
  • Information analysis
  • Joint estimation/detection tasks

ASJC Scopus subject areas

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

Cite this

Cushing, J. B., Clarkson, E. W., Mandava, S., & Bilgin, A. (2016). Estimation and detection information trade-off for x-ray system optimization. In Anomaly Detection and Imaging with X-Rays (ADIX) (Vol. 9847). [98470U] SPIE. https://doi.org/10.1117/12.2223370

Estimation and detection information trade-off for x-ray system optimization. / Cushing, Johnathan B.; Clarkson, Eric W; Mandava, Sagar; Bilgin, Ali.

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

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

Cushing, JB, Clarkson, EW, Mandava, S & Bilgin, A 2016, Estimation and detection information trade-off for x-ray system optimization. in Anomaly Detection and Imaging with X-Rays (ADIX). vol. 9847, 98470U, SPIE, Anomaly Detection and Imaging with X-Rays (ADIX) Conference, Baltimore, United States, 4/19/16. https://doi.org/10.1117/12.2223370
Cushing JB, Clarkson EW, Mandava S, Bilgin A. Estimation and detection information trade-off for x-ray system optimization. In Anomaly Detection and Imaging with X-Rays (ADIX). Vol. 9847. SPIE. 2016. 98470U https://doi.org/10.1117/12.2223370
Cushing, Johnathan B. ; Clarkson, Eric W ; Mandava, Sagar ; Bilgin, Ali. / Estimation and detection information trade-off for x-ray system optimization. Anomaly Detection and Imaging with X-Rays (ADIX). Vol. 9847 SPIE, 2016.
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