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Fast Variance Prediction for Iteratively Reconstructed CT Images with Locally Quadratic Regularization

Predicting noise properties of iteratively reconstructed CT images is useful for analyzing reconstruction methods; for example, local noise power spectrum (NPS) predictions may be used to quantify the detectability of an image feature, to design regularization methods, or to determine dynamic tube c...

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Bibliografiske detaljer
Udgivet i:IEEE Trans Med Imaging
Main Authors: Schmitt, Stephen M., Goodsitt, Mitchell M., Fessler, Jeffrey A.
Format: Artigo
Sprog:Inglês
Udgivet: 2016
Fag:
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5217761/
https://ncbi.nlm.nih.gov/pubmed/27448342
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2016.2593259
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