Deep learning image reconstruction for CT: technical principles and clinical prospects
Filtered back projection (FBP) has been the standard CT image reconstruction method for 4
decades. A simple, fast, and reliable technique, FBP has delivered high-quality images in …
decades. A simple, fast, and reliable technique, FBP has delivered high-quality images in …
MAGIC: Manifold and graph integrative convolutional network for low-dose CT reconstruction
Low-dose computed tomography (LDCT) scans, which can effectively alleviate the radiation
problem, will degrade the imaging quality. In this paper, we propose a novel LDCT …
problem, will degrade the imaging quality. In this paper, we propose a novel LDCT …
Low-dose CT image synthesis for domain adaptation imaging using a generative adversarial network with noise encoding transfer learning
M Li, J Wang, Y Chen, Y Tang, Z Wu… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Deep learning (DL) based image processing methods have been successfully applied to
low-dose x-ray images based on the assumption that the feature distribution of the training …
low-dose x-ray images based on the assumption that the feature distribution of the training …
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 …
MetaInv-Net: Meta inversion network for sparse view CT image reconstruction
X-ray Computed Tomography (CT) is widely used in clinical applications such as diagnosis
and image-guided interventions. In this paper, we propose a new deep learning based …
and image-guided interventions. In this paper, we propose a new deep learning based …
Deep learning based spectral CT imaging
Spectral computed tomography (CT) has attracted much attention in radiation dose
reduction, metal artifacts removal, tissue quantification and material discrimination. The x-ray …
reduction, metal artifacts removal, tissue quantification and material discrimination. The x-ray …
DuDoTrans: dual-domain transformer for sparse-view CT reconstruction
Abstract While Computed Tomography (CT) is necessary for clinical diagnosis, ionizing
radiation in the imaging process induces irreversible injury, thereby driving researchers to …
radiation in the imaging process induces irreversible injury, thereby driving researchers to …
DuDoTrans: dual-domain transformer provides more attention for sinogram restoration in sparse-view CT reconstruction
While Computed Tomography (CT) reconstruction from X-ray sinograms is necessary for
clinical diagnosis, iodine radiation in the imaging process induces irreversible injury …
clinical diagnosis, iodine radiation in the imaging process induces irreversible injury …
A dual-domain diffusion model for sparse-view ct reconstruction
To reduce the radiation dose, sparse-view computed tomography (CT) reconstruction has
been proposed, aiming to recover high-quality CT images from sparsely sampled sinogram …
been proposed, aiming to recover high-quality CT images from sparsely sampled sinogram …