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• W2116765833 abstract "A basic assumption in the classic computed tomography (CT) theory is that an object remains stationary in an entire scan. In biomedical CT/micro-CT, this assumption is often violated. To produce high-resolution images, such as for our recently proposed clinical micro-CT (CMCT) prototype, it is desirable to develop a precise motion estimation and image reconstruction scheme. In this paper, we first extend the Helgason-Ludwig consistency condition (HLCC) from parallel-beam to fan-beam geometry when an object is subject to a translation. Then, we propose a novel method to estimate the motion parameters only from sinograms based on the HLCC. To reconstruct the moving object, we formulate two generalized fan-beam reconstruction methods, which are in filtered backprojection and backprojection filtering formats, respectively. Furthermore, we present numerical simulation results to show that our approach is accurate and robust." @default.
• W2116765833 created "2016-06-24" @default.
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• W2116765833 creator A5051700680 @default.
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• W2116765833 date "2006-06-01" @default.
• W2116765833 modified "2023-09-29" @default.
• W2116765833 title "Data consistency based translational motion artifact reduction in fan-beam CT" @default.
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• W2116765833 doi "https://doi.org/10.1109/tmi.2006.875424" @default.
• W2116765833 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/16768243" @default.
• W2116765833 hasPublicationYear "2006" @default.
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