Fast Variance Prediction for Iteratively Reconstructed CT Images With Locally Quadratic Regularization
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DOI: 10.1109/tmi.2016.2593259
Abstract: 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… read more here.
Keywords: iteratively reconstructed; regularization; quadratic regularization; reconstructed images ... See more keywords