Image denoising for low-dose CT via convolutional dictionary learning and neural network
R Yan, Y Liu, Y Liu, L Wang, R Zhao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Removing noise and artifacts from low-dose computed tomography (LDCT) is a challenging
task, and most existing image-based algorithms tend to blur the results. To improve the …
task, and most existing image-based algorithms tend to blur the results. To improve the …
Dual-domain collaborative diffusion sampling for multi-source stationary computed tomography reconstruction
The multi-source stationary CT, where both the detector and X-ray source are fixed,
represents a novel imaging system with high temporal resolution that has garnered …
represents a novel imaging system with high temporal resolution that has garnered …
Estimating dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network
Dual-energy computed tomography (DECT) is of great significance for clinical practice due
to its huge potential to provide material-specific information. However, DECT scanners are …
to its huge potential to provide material-specific information. However, DECT scanners are …
CD-Net: Comprehensive domain network with spectral complementary for DECT sparse-view reconstruction
Dual-energy computed tomography (DECT) is of great clinical significance because of its
material identification and quantification capacity. Although DECT measures attenuation …
material identification and quantification capacity. Although DECT measures attenuation …
Single low-dose CT image denoising using a generative adversarial network with modified U-Net generator and multi-level discriminator
J Chi, C Wu, X Yu, P Ji, H Chu - IEEE Access, 2020 - ieeexplore.ieee.org
Low-dose CT (LDCT) images have been widely applied in the medical imaging field due to
the potential risk of exposing patients to X-ray radiations. Given the fact that reducing the …
the potential risk of exposing patients to X-ray radiations. Given the fact that reducing the …
PIE-ARNet: Prior image enhanced artifact removal network for limited-angle DECT
Dual-energy computed tomography (DECT) is of great clinical significance because it can
simultaneously visualize the internal structure of the scanned object and provide material …
simultaneously visualize the internal structure of the scanned object and provide material …
Sparse-view cone beam CT reconstruction using dual CNNs in projection domain and image domain
Cone beam computed tomography (CBCT) is used extensively in image-guided surgery and
radiotherapy, but it induces ionizing radiation to the patients. Sparse-view CBCT is a main …
radiotherapy, but it induces ionizing radiation to the patients. Sparse-view CBCT is a main …
A generalizable new figure of merit for dose optimization in dual energy cone beam CT scanning protocols
Objective. This study proposes and evaluates a new figure of merit (FOMn) for dose
optimization of Dual-energy cone-beam CT (DE-CBCT) scanning protocols based on size …
optimization of Dual-energy cone-beam CT (DE-CBCT) scanning protocols based on size …
Fast and effective single‐scan dual‐energy cone‐beam CT reconstruction and decomposition denoising based on dual‐energy vectorization
Purpose Flat‐panel detector (FPD) based dual‐energy cone‐beam computed tomography
(DE‐CBCT) is a promising imaging technique for dedicated clinical applications. In this …
(DE‐CBCT) is a promising imaging technique for dedicated clinical applications. In this …
Multi-scale feature fusion network for low-dose CT denoising
Z Li, Y Liu, H Shu, J Lu, J Kang, Y Chen, Z Gui - Journal of Digital Imaging, 2023 - Springer
Computed tomography (CT) is an imaging technique extensively used in medical treatment,
but too much radiation dose in a CT scan will cause harm to the human body. Decreasing …
but too much radiation dose in a CT scan will cause harm to the human body. Decreasing …