Knowledge-based iterative model reconstruction
نویسندگان
چکیده
منابع مشابه
Model-based iterative reconstruction
Realizing this, GE Healthcare has developed a powerful class of new reconstruction techniques designed to explicitly include the modeling of data statistics into the reconstruction. ASiR,* introduced in 2008, fi rst demonstrated the potential of advanced statistical algorithms. In 2011, Veo*§ builds upon the foundation laid by ASiR by now including accurate modeling of X-ray physics and system ...
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BACKGROUND Iterative reconstruction methods have attracted attention for reducing radiation doses in computed tomography (CT). PURPOSE To investigate the detectability of pancreatic calcification using dose-reduced CT reconstructed with model-based iterative construction (MBIR) and adaptive statistical iterative reconstruction (ASIR). MATERIAL AND METHODS This prospective study approved by ...
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A method is proposed to reconstruct signals from incomplete data. The method, which can be interpreted both as a discrete implementation of the so-called prior discrete Fourier transform (PDFT) spectral estimation technique and as a variant of the algebraic reconstruction technique, allows one to incorporate prior information about the reconstructed signal to improve the resolution of the signa...
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While traditional direct reconstruction algorithms such as filtered back projection (FBP) and direct Fourier method (DFM) depend on the analytic inversion of sinogram data, model-based reconstruction methods rely on iterative optimization of a statistical model of both the acquired data and the unknown image. Model-based iterative reconstruction (MBIR) potentially offers many important advantag...
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ژورنال
عنوان ژورنال: Medicine
سال: 2018
ISSN: 0025-7974
DOI: 10.1097/md.0000000000011514