A review on CT image noise and its denoising

M Diwakar, M Kumar - Biomedical Signal Processing and Control, 2018 - Elsevier
CT imaging is widely used in medical science over the last decades. The process of CT
image reconstruction depends on many physical measurements such as radiation dose …

Low-dose CT via convolutional neural network

H Chen, Y Zhang, W Zhang, P Liao, K Li… - Biomedical optics …, 2017 - opg.optica.org
In order to reduce the potential radiation risk, low-dose CT has attracted an increasing
attention. However, simply lowering the radiation dose will significantly degrade the image …

Radiation dose reduction in computed tomography: techniques and future perspective

L Yu, X Liu, S Leng, JM Kofler… - Imaging in …, 2009 - pmc.ncbi.nlm.nih.gov
Despite universal consensus that computed tomography (CT) overwhelmingly benefits
patients when used for appropriate indications, concerns have been raised regarding the …

Artifact suppressed dictionary learning for low-dose CT image processing

Y Chen, L Shi, Q Feng, J Yang, H Shu… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
Low-dose computed tomography (LDCT) images are often severely degraded by amplified
mottle noise and streak artifacts. These artifacts are often hard to suppress without …

Adaptive-weighted total variation minimization for sparse data toward low-dose x-ray computed tomography image reconstruction

Y Liu, J Ma, Y Fan, Z Liang - Physics in Medicine & Biology, 2012 - iopscience.iop.org
Previous studies have shown that by minimizing the total variation (TV) of the to-be-
estimated image with some data and other constraints, piecewise-smooth x-ray computed …