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• W2269566677 endingPage "e0143202" @default.
• W2269566677 startingPage "e0143202" @default.
• W2269566677 abstract "In practical applications of computed tomography imaging (CT), it is often the case that the set of projection data is incomplete owing to the physical conditions of the data acquisition process. On the other hand, the high radiation dose imposed on patients is also undesired. These issues demand that high quality CT images can be reconstructed from limited projection data. For this reason, iterative methods of image reconstruction have become a topic of increased research interest. Several algorithms have been proposed for few-view CT. We consider that the accurate solution of the reconstruction problem also depends on the system matrix that simulates the scanning process. In this work, we analyze the application of the Siddon method to generate elements of the matrix and we present results based on real projection data." @default.
• W2269566677 created "2016-06-24" @default.
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• W2269566677 date "2015-11-17" @default.
• W2269566677 modified "2023-09-24" @default.
• W2269566677 title "System Matrix Analysis for Computed Tomography Imaging" @default.
• W2269566677 cites W198508004 @default.
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• W2269566677 doi "https://doi.org/10.1371/journal.pone.0143202" @default.
• W2269566677 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4648504" @default.
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