Analysis of ideal observer signal detectability in phase-contrast imaging employing linear shift-invariant optical systems

Mark A. Anastasio, Cheng Ying Chou, Adam M. Zysk, Jovan G. Brankov

Research output: Contribution to journalArticlepeer-review

Abstract

Phase-contrast imaging methods exploit variations in an object's refractive index distribution to permit the visualization of subtle features that may have very similar optical absorption properties. Although phasecontrast is often viewed as being desirable in many biomedical applications, its relative influence on signal detectability when both absorption- and phase-contrast are present remains relatively unexplored. In this work, we investigate the ideal Bayesian observer signal-to-noise ratio in phase-contrast imaging for a signal-known-exactly/background-known exactly detection task involving a weak signal. We demonstrate that this signal detectability measure can be decomposed into three contributions that have distinct interpretations associated with the imaging physics.

Original languageEnglish (US)
Pages (from-to)2648-2659
Number of pages12
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Volume27
Issue number12
DOIs
StatePublished - Dec 2010
Externally publishedYes

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Computer Vision and Pattern Recognition

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