Impact of view reduction in CT on radiation dose for patients

Iterative methods have become a hot topic of research in computed tomography (CT) imaging because of their capacity to resolve the reconstruction problem from a limited number of projections. This allows the reduction of radiation exposure on patients during the data acquisition. The reconstruction time and the high radiation dose imposed on patients are the two major drawbacks in CT. To solve them effectively we adapted the method for sparse linear equations and sparse least squares (LSQR) with soft threshold filtering (STF) and the fast iterative shrinkage-thresholding algorithm (FISTA) to computed tomography reconstruction. The feasibility of the proposed methods is demonstrated numerically. - Highlights: • A method for CT reconstruction is proposed: LSQR-STF-FISTA. • Our method achieve good results in reconstruction of few-view CT. • The reconstruction of projections with Gaussian noise is possible. • Our reconstruction process allows a reduction of time in the data acquisition process. • Our reconstruction process allows a reduction in the radiation exposure in the patients.