A robust contour preserving image reconstruction algorithm for a new quantum X-ray radiology system

Proposes a robust algorithm for the reconstruction of blind strips happening in images generated by a revolutionary new quantum X-ray radiology system. These strips are due to the gaps between the detectors. Each blind strip is three defective columns wide. It may be wider because it happens that the neighbour channels were defective. A brief review of the literature shows that classical interpolation methods are not accurate enough for contour reconstruction. The authors developed a robust image reconstruction method which is contour preserving. Prior to the reconstruction, one must proceed to data preprocessing since quantum detectors related to the channels do not have the same response. Experimental results are presented and compared to polynomial fitting.