Simulating arbitrary dose levels and independent noise image pairs from a single CT scan
S Wang, AS Wang - … Conference on Image Formation in X-Ray …, 2022 - spiedigitallibrary.org
Deep learning-based image denoising and reconstruction methods have shown promising
results for low-dose CT. When high-quality reference images are not available for training …
results for low-dose CT. When high-quality reference images are not available for training …
Deep learning-based prior toward normalized metal artifact reduction in computed tomography
Deep learning-based image denoising and reconstruction methods have shown promising
results for low-dose CT. When high-quality reference images are not available for training …
results for low-dose CT. When high-quality reference images are not available for training …
Low-dose CT image denoising without high-dose reference images
Reducing radiation dose of computed tomography (CT) and thereby decreasing the
potential risk to patients are desirable in CT imaging. Deep neural network has been …
potential risk to patients are desirable in CT imaging. Deep neural network has been …
A novel transfer learning framework for low-dose CT
Over the past few years, deep neural networks have made significant processes in
denoising low-dose CT images. A trained denoising network, however, may not generalize …
denoising low-dose CT images. A trained denoising network, however, may not generalize …
Half2Half: deep neural network based CT image denoising without independent reference data
Reducing radiation dose of x-ray computed tomography (CT) and thereby decreasing the
potential risk to patients are desirable in CT imaging. Deep neural network (DNN) has been …
potential risk to patients are desirable in CT imaging. Deep neural network (DNN) has been …
Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography
K Usui, K Ogawa, M Goto, Y Sakano… - Visual Computing for …, 2021 - Springer
To minimize radiation risk, dose reduction is important in the diagnostic and therapeutic
applications of computed tomography (CT). However, image noise degrades image quality …
applications of computed tomography (CT). However, image noise degrades image quality …
Investigation of low-dose CT image denoising using unpaired deep learning methods
Low-dose computed tomography (LDCT) is desired due to prevalence and ionizing radiation
of CT, but suffers elevated noise. To improve LDCT image quality, an image-domain …
of CT, but suffers elevated noise. To improve LDCT image quality, an image-domain …
[PDF][PDF] Low-dose CT restoration with deep neural network
H Chen, Y Zhang, W Zhang, P Liao… - Proceedings of the …, 2017 - onlinelibrary.fully3d.org
To reduce the potential radiation risk, low-dose CT has attracted much attention. However,
simply lowering the radiation dose will lead to significant deterioration of the image quality …
simply lowering the radiation dose will lead to significant deterioration of the image quality …
Unpaired image denoising using a generative adversarial network in X-ray CT
This paper proposes a deep learning-based denoising method for noisy low-dose
computerized tomography (CT) images in the absence of paired training data. The proposed …
computerized tomography (CT) images in the absence of paired training data. The proposed …
Low-dose CT denoising with convolutional neural network
H Chen, Y Zhang, W Zhang, P Liao, K Li… - 2017 IEEE 14th …, 2017 - ieeexplore.ieee.org
To reduce the potential radiation risk, low-dose CT has attracted much attention. However,
simply lowering the radiation dose will lead to significant deterioration of the image quality …
simply lowering the radiation dose will lead to significant deterioration of the image quality …