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Dataset Information

Low-dose CT reconstruction using spatially encoded nonlocal penalty.


ABSTRACT:

Purpose

Computed tomography (CT) is one of the most used imaging modalities for imaging both symptomatic and asymptomatic patients. However, because of the high demand for lower radiation dose during CT scans, the reconstructed image can suffer from noise and artifacts due to the trade-off between the image quality and the radiation dose. The purpose of this paper is to improve the image quality of quarter dose images and to select the best hyperparameters using the regular dose image as ground truth.

Methods

We first generated the axially stacked two-dimensional sinograms from the multislice raw projections with flying focal spots using a single slice rebinning method, which is an axially approximate method to provide simple implementation and efficient memory usage. To imp

SUBMITTER: Kim K 

PROVIDER: S-EPMC5927365 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature