Task-Driven Optimization of Fluence Field and Regularization for Model-Based Iterative Reconstruction in Computed Tomography

This work presents a joint optimization of dynamic fluence field modulation (FFM) and regularization in quadratic penalized-likelihood (PL) reconstruction that maximizes a task-based imaging performance metric. We adopted a task-driven imaging framework for prospective designs of the imaging paramet...

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Bibliografiset tiedot
Julkaisussa:IEEE Trans Med Imaging
Päätekijät: Gang, Grace J., Siewerdsen, Jeffrey H., Stayman, J. Webster
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2017
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Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC5728109/
https://ncbi.nlm.nih.gov/pubmed/29035215
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2017.2763538
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