Ertas, MetinYildirim, IsaKamasak, MustafaAkan, Aydin2021-10-302021-10-3020160895-39961095-9114https //doi.org/10.3233/XST-160529https://hdl.handle.net/20.500.12573/1018This work has been supported by TUBITAK, The Scientific and Research Council of Turkey, under the grant 111E086.In this work, algebraic reconstruction technique (ART) is extended by using non-local means (NLM) and total variation (TV) for reduction of artifacts that are due to insufficient projection data. TV and NLM algorithms use different image models and their application in tandem becomes a powerful denoising method that reduces erroneous variations in the image while preserving edges and details. Simulations were performed on a widely used 2D Shepp-Logan phantom to demonstrate performance of the introduced method (ART + TV) NLM and compare it to TV based ART (ART + TV) and ART. The results indicate that (ART + TV) NLM achieves better reconstructions compared to (ART + TV) and ART.enginfo:eu-repo/semantics/closedAccessinsufficient projectionnon-local meanstotal variationtomographyLimited-anglearticleVolume 24 Issue 1 Page 1-8