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Published in 2019 at "SoftwareX"
DOI: 10.1016/j.softx.2019.04.003
Abstract: Abstract Iterative reconstruction algorithms are often needed to help solve ill-posed inverse problems in computed tomography (CT), especially cases when tomographic projection data are corrupt, noisy or angularly undersampled. Model-based iterative methods can be adapted…
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Keywords:
reconstruction;
image reconstruction;
proximal splitting;
regularisation toolkit ... See more keywords