Iterative method for parametric image estimation in MIR
A new X-ray imaging method called multiple-image radiography (MIR), can simultaneously produce parametric images of absorption, refraction, and ultra-small-angle scatter, while rejecting higher-angle scatter. These parametric images where shown to have a superb diagnostic abilities compared to some conventional X-ray methods (e.g. mammograms). In this paper we present a new parametric image estimation method based on physical model of image formation in MIR. Presented method uses the fact that the angular profile of the measured X-ray, after interaction with the object, can be modeled as a convolution of a Gaussian curve and intrinsic imaging system angular profile. Further, the new approach uses an iterative conjugate gradients algorithm which in combination with the model, offers improvement in parametric image estimation accuracy.