Abstract
Multiple-Image Radiography (MIR) is an analyzer-based phase sensitive X-ray imaging method, which is a potential alternative for conventional radiography. MIR simultaneously generates three planar images containing information about attenuation, refraction and scattering properties of the object. The three parametric images in MIR are estimated from angular samples of the angular intensity profile (AIP) of the beam using the analyzer crystal. Like many of the modern imaging techniques, MIR is a computing imaging method and the noise in MIR, in addition to the imaging conditions, depends on the estimation of the parameters. In this work, we continue the evaluation of a new parameter estimation method for MIR by using the MIR images from a cadaveric human thumb study. We also compare this new method to the conventional estimator by using the mean square error of the estimated images and the variance of the estimators as metrics.
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