Dual energy CT requires two measurements of object attenuation at two different energies. Two measurements can be obtained by switching between two sources operating at two different spectra. Non-ideal source switching causes data mixing which produces image artifacts. We propose a framework to correct data to prevent such image artifacts using a recursive view mixing model. A nonlinear optimization approach estimates the model parameters using data from a calibration procedure based on a symmetry metric. Results from a commercial dual energy CT scanner demonstrate the effectiveness of the proposed approach.
['Julia Pavlovich', 'Andrew Litvin', 'Aleksander Roshi', 'Sergey Simanovsky', 'Ram Naidu']
A correction framework for non-ideal source switching in dual energy CT scanner