Feb 19, 2013 · The emergence of electronic noise as a significant contributor to uncertainty, and bias of sinogram values in photon-starved measurements are ...
This paper addresses several issues arising in limiting cases which call for refine ment of standard data models, including the emergence of electronic ...
Oct 22, 2024 · This paper addresses several issues arising in limiting cases which call for refine ment of standard data models. The emergence of electronic ...
Zhang R. et al. Statistical modeling challenges in model-based reconstruction for x-ray CT // Proceedings of SPIE - The International Society for Optical ...
To evaluate the ability of a model-based iterative reconstruction (MBIR) for improving image quality in upper abdominal CT with quarter of the normal dose.
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Statistical modeling challenges in model-based reconstruction for X-ray CT. R Zhang, A Chang, JB Thibault, K Sauer, C Bouman. Proc. of SPIE-IS&T Electronic ...
Dec 13, 2021 · In this paper, we develop and apply model-based image reconstruction (MBIR) algorithms to improve the quality of CT reconstructions for TRISO ...
The nonlinear nature of MBIR methods has introduced significant challenges to the characterization of spatial resolution performance. For example, conventional ...
Bibliographic details on Statistical modeling challenges in model-based reconstruction for x-ray CT.
Abstract—In this paper, we investigate the use of model-based. CT reconstruction in conjunction with limited-view scanning architectures, and we illustrate ...