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3 March 2012Iterative image reconstruction in spectral CT
Scan time of spectral-CTs is much longer than conventional CTs due to limited number of x-ray photons detectable by
photon-counting detectors. However, the spectral pixel information in spectral-CT has much richer information on
physiological and pathological status of the tissues than the
CT-number in conventional CT, which makes the spectral-
CT one of the promising future imaging modalities. One simple way to reduce the scan time in spectral-CT imaging is to
reduce the number of views in the acquisition of projection data. But, this may result in poorer SNR and strong streak
artifacts which can severely compromise the image quality. In this work, spectral-CT projection data were obtained from
a lab-built spectral-CT consisting of a single CdTe photon counting detector, a micro-focus x-ray tube and scan
mechanics. For the image reconstruction, we used two iterative image reconstruction methods, the simultaneous iterative
reconstruction technique (SIRT) and the total variation minimization based on conjugate gradient method (CG-TV),
along with the filtered back-projection (FBP) to compare the image quality. From the imaging of the iodine containing
phantoms, we have observed that SIRT and CG-TV are superior to the FBP method in terms of SNR and streak artifacts.
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Daniel Hernandez, Eric Michel, Hye S. Kim, Jae G. Kim, Byung H. Han, Min H. Cho, Soo Y. Lee, "Iterative image reconstruction in spectral CT," Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 831330 (3 March 2012); https://doi.org/10.1117/12.911258