Streak artifact reduction in cardiac cone beam ct reconstruction

Abstract

In a diagnostic imaging system () two-dimensional projection data is collected in a data memory (). The data is sorted into the data sets collected during selected cardiac phases. A re-binning processor () re-bins the projection data into a parallel ray format. An adaptive filter () filters the parallel ray format data with each of a plurality of different filter channels based on a calculated photonic noise of each reading and assuming an arbitrary noise reduction factor, different for each filter channel. A convolver () convolves the data filtered with each of the filter channels. A noise reduction factor processor () determines the actual noise reduction factor occurring due to the weighted averaging of readings contributing to each voxel ν at an angle θε[0, 7π). A weighting processor () weights the convolved data from each of the filter channels based on the channels' noise reduction factors and the actual noise reduction factor. A backprojector () backprojects the combined weighted sum of projections to build an image representation that can be displayed in a human readable format.