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Impact of view reduction in CT on radiation dose for patients.pdf

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Impact of view reduction in CT on radiation dose for patients.pdf

Radiation Physics and Chemistry ? (????) ???–??? Contents lists available at ScienceDirect Radiation Physics and Chemistry journal homepage: /locate/radphyschem Impact of view reduction in CT on radiation dose for patients E. Parcero a,n, L. Flores b, M.G. Sánchez c, V. Vidal d, G. Verdú a a ISIRYM, Universitat Politècnica de València, Cno Vera s/n 46022, Valencia, Spain b Universidad Peruana Cayetano Heredia, Av Honorio Delgado 340, 15120 Lima, Peru c DSyC, Instituto Tecnológico de Cd. Guzmán, Cd. Guzmán 49000, Jalisco, Mexico d DSIC, Universitat Politècnica de Valencia, Cno Vera s/n 46022, Valencia, Spain 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. article info Article history: Received 28 October 2015 Received in revised form 21 January 2016 Accepted 29 January 2016 Keywords: Nuclear medicine CT Noise reduction Few-view abstract 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 ?ltering (STF) and the fast iterative shrinkage-thresholding algorithm (FISTA) to computed tomography reconstruction. The feasibility of the proposed methods is demonstrated numerically. 2016 Elsevier Ltd. All rights reserved. 1. Introduction In computer tomography (CT) imaging, a set of proj