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Optimal Frequency-Based Weighting for Spectral X-Ray Projection Imaging | IEEE Journals & Magazine | IEEE Xplore

Optimal Frequency-Based Weighting for Spectral X-Ray Projection Imaging


Abstract:

The purpose of this work is to derive a weighting scheme that maximizes the frequency-dependent ideal observer signal-difference-to-noise ratio, commonly referred to as d...Show More

Abstract:

The purpose of this work is to derive a weighting scheme that maximizes the frequency-dependent ideal observer signal-difference-to-noise ratio, commonly referred to as detectability index or Hotelling-SDNR, for spectral X-ray projection imaging. Starting from basic statistical decision theory, optimal frequency-dependent weights are derived for a multiple-bin system and the Hotelling-SDNR calculated. A 28% increase in detectability index is found for high frequency objects when applying optimal frequency-dependent weights instead of pixel-based weights to a simplified model of a silicon detector, decreasing towards 0% for low frequency objects. Simulation results indicate a potentially large increase in detectability for high-frequency object imaging using silicon detectors, thus meriting further evaluations on a real system.
Published in: IEEE Transactions on Medical Imaging ( Volume: 34, Issue: 3, March 2015)
Page(s): 779 - 787
Date of Publication: 30 September 2014

ISSN Information:

PubMed ID: 25291789

References

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