Low-Dose CT Image Denoising with a Residual Multi-scale Feature Fusion Convolutional Neural Network and Enhanced Perceptual Loss
F Niknejad Mazandarani, P Babyn… - Circuits, Systems, and …, 2024 - Springer
Computed tomography (CT) stands as a pivotal medical imaging technique, delivering
timely and reliable clinical evaluations. Yet, its dependence on ionizing radiation raises …
timely and reliable clinical evaluations. Yet, its dependence on ionizing radiation raises …
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 …
Enhancement based convolutional dictionary network with adaptive window for low-dose CT denoising
Y Liu, R Yan, Y Liu, P Zhang… - Journal of X-Ray …, 2023 - content.iospress.com
BACKGROUND: Recently, one promising approach to suppress noise/artifacts in low-dose
CT (LDCT) images is the CNN-based approach, which learns the mapping function from …
CT (LDCT) images is the CNN-based approach, which learns the mapping function from …
Diffusion probabilistic priors for zero-shot low-dose ct image denoising
Denoising low-dose computed tomography (CT) images is a critical task in medical image
computing. Supervised deep learning-based approaches have made significant …
computing. Supervised deep learning-based approaches have made significant …
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays
X Liu, Z Qiao, R Liu, H Li, J Zhang, X Zhen… - arXiv preprint arXiv …, 2024 - arxiv.org
Computed tomography (CT) is widely utilized in clinical settings because it delivers detailed
3D images of the human body. However, performing CT scans is not always feasible due to …
3D images of the human body. However, performing CT scans is not always feasible due to …
[引用][C] Using deep learning-based denoising and iterative reconstruction to reduce radiation exposure–How low can we go?
P Schindler, M Gerwing - European Journal of Radiology, 2024 - ejradiology.com
CT scans are still the number one reason for patient's overall radiation exposure, with a
consecutively elevated risk for radiation-induced cancer [1]. The wide introduction of iterative …
consecutively elevated risk for radiation-induced cancer [1]. The wide introduction of iterative …
Joint denoising and interpolating network for low-dose cone-beam CT reconstruction under hybrid dose-reduction strategy
L Chao, Y Wang, TT Zhang, W Shan, H Zhang… - Computers in Biology …, 2024 - Elsevier
Cone-beam computed tomography (CBCT) is generally reconstructed with hundreds of two-
dimensional X-Ray projections through the FDK algorithm, and its excessive ionizing …
dimensional X-Ray projections through the FDK algorithm, and its excessive ionizing …
Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction
S Hongming, P Atul, H Fatemeh, K Uwe… - Nature Machine …, 2019 - search.proquest.com
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 …
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 High-Resolution Network for Low Dose X-ray CT Denoising
Low Dose Computed Tomography (LDCT) is clinically desirable due to the reduced
radiation to patients. However, the quality of LDCT images is often sub-optimal because of …
radiation to patients. However, the quality of LDCT images is often sub-optimal because of …