Iterative low-dose CT reconstruction with priors trained by artificial neural network
Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in
clinical applications. Iterative reconstruction algorithms are one of the most promising way to …
clinical applications. Iterative reconstruction algorithms are one of the most promising way to …
Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction
Commercial iterative reconstruction techniques help to reduce the radiation dose of
computed tomography (CT), but altered image appearance and artefacts can limit their …
computed tomography (CT), but altered image appearance and artefacts can limit their …
Deep iterative reconstruction estimation (DIRE): approximate iterative reconstruction estimation for low dose CT imaging
The image quality in low dose computed tomography (LDCT) can be severely degraded by
amplified mottle noise and streak artifacts. Although the iterative reconstruction (IR) …
amplified mottle noise and streak artifacts. Although the iterative reconstruction (IR) …
Low‐dose CT reconstruction with Noise2Noise network and testing‐time fine‐tuning
Purpose Deep learning‐based image denoising and reconstruction methods demonstrated
promising performance on low‐dose CT imaging in recent years. However, most existing …
promising performance on low‐dose CT imaging in recent years. However, most existing …
Deep learning-based image quality improvement for low-dose computed tomography simulation in radiation therapy
Low-dose computed tomography (CT) is desirable for treatment planning and simulation in
radiation therapy. Multiple rescanning and replanning during the treatment course with a …
radiation therapy. Multiple rescanning and replanning during the treatment course with a …
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 …
attention. However, simply lowering the radiation dose will significantly degrade the image …
Low-dose CT with a residual encoder-decoder convolutional neural network
Given the potential risk of X-ray radiation to the patient, low-dose CT has attracted a
considerable interest in the medical imaging field. Currently, the main stream low-dose CT …
considerable interest in the medical imaging field. Currently, the main stream low-dose CT …
A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction
Purpose Due to the potential risk of inducing cancer, radiation exposure by X‐ray CT
devices should be reduced for routine patient scanning. However, in low‐dose X‐ray CT …
devices should be reduced for routine patient scanning. However, in low‐dose X‐ray CT …
Low-dose CT reconstruction via edge-preserving total variation regularization
High radiation dose in computed tomography (CT) scans increases the lifetime risk of cancer
and has become a major clinical concern. Recently, iterative reconstruction algorithms with …
and has become a major clinical concern. Recently, iterative reconstruction algorithms with …
Computationally efficient deep neural network for computed tomography image reconstruction
Purpose Deep neural network‐based image reconstruction has demonstrated promising
performance in medical imaging for undersampled and low‐dose scenarios. However, it …
performance in medical imaging for undersampled and low‐dose scenarios. However, it …