A statistical reconstruction model for absorption CT with source uncertainty <sup>*</sup>
نویسندگان
چکیده
منابع مشابه
CT of the chest with model-based, fully iterative reconstruction: comparison with adaptive statistical iterative reconstruction
BACKGROUND The recently developed model-based iterative reconstruction (MBIR) enables significant reduction of image noise and artifacts, compared with adaptive statistical iterative reconstruction (ASIR) and filtered back projection (FBP). The purpose of this study was to evaluate lesion detectability of low-dose chest computed tomography (CT) with MBIR in comparison with ASIR and FBP. METHO...
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Grating-based phase-contrast computed tomography (PCCT) is a promising imaging tool on the horizon for pre-clinical and clinical applications. Until now PCCT has been plagued by strong artifacts when dense materials like bones are present. In this paper, we present a new statistical iterative reconstruction algorithm which overcomes this limitation. It makes use of the fact that an X-ray interf...
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ژورنال
عنوان ژورنال: Inverse Problems
سال: 2021
ISSN: ['0266-5611', '1361-6420']
DOI: https://doi.org/10.1088/1361-6420/ac11c7