Analysis of ideal observer signal detectability in phase-contrast imaging employing linear shift-invariant optical systems.
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 phase-contrast 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.
Department of Biomedical Engineering, Medical Imaging Research Center, Illinois Institute of Technology,Chicago, Illinois 60616-3793, USA. anastasio@iit.edu
Mark A
MA
Anastasio
Cheng-Ying
CY
Chou
Adam M
AM
Zysk
Jovan G
JG
Brankov
D001499:Bayes Theorem; D016014:Linear Models; D008962:Models, Theoretical; D057054:Molecular Imaging / Q000379:methods*; D055620:Optical Phenomena; D010363:Pattern Recognition, Automated / Q000379:methods*; D014965:X-Rays