A review of deep learning ct reconstruction from incomplete projection data
Computed tomography (CT) is a widely used imaging technique in both medical and
industrial applications. However, accurate CT reconstruction requires complete projection …
industrial applications. However, accurate CT reconstruction requires complete projection …
A sparse-view CT reconstruction method based on combination of DenseNet and deconvolution
Sparse-view computed tomography (CT) holds great promise for speeding up data
acquisition and reducing radiation dose in CT scans. Recent advances in reconstruction …
acquisition and reducing radiation dose in CT scans. Recent advances in reconstruction …
Deep-neural-network-based sinogram synthesis for sparse-view CT image reconstruction
Recently, a number of approaches to low-dose computed tomography (CT) have been
developed and deployed in commercialized CT scanners. Tube current reduction is perhaps …
developed and deployed in commercialized CT scanners. Tube current reduction is perhaps …
Hybrid-domain neural network processing for sparse-view CT reconstruction
X-ray computed tomography (CT) is one of the most widely used tools in medical imaging,
industrial nondestructive testing, lesion detection, and other applications. However …
industrial nondestructive testing, lesion detection, and other applications. However …
Artifact removal using improved GoogLeNet for sparse-view CT reconstruction
Sparse-view Reconstruction can be used to provide accelerated low dose CT imaging with
both accelerated scan and reduced projection/back-projection calculation. Despite the rapid …
both accelerated scan and reduced projection/back-projection calculation. Despite the rapid …
DDPTransformer: dual-domain with parallel transformer network for sparse view CT image reconstruction
R Li, Q Li, H Wang, S Li, J Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Computed tomography (CT) is increasingly essential for clinical diagnosis nowadays while
X-ray ionizing radiation is harmful and may increase the risk of cancers. Researchers have …
X-ray ionizing radiation is harmful and may increase the risk of cancers. Researchers have …
Limited-Angle X-Ray CT Reconstruction Using Image Gradient ℓ₀-Norm With Dictionary Learning
Limited-angle X-ray computed tomography (CT) reconstruction is a typical ill-posed problem.
To recover satisfied reconstructed images with limited-angle CT projections, prior …
To recover satisfied reconstructed images with limited-angle CT projections, prior …
An attention-based deep convolutional neural network for ultra-sparse-view CT reconstruction
Abstract X-ray Computed Tomography (CT) techniques play a vitally important role in clinical
diagnosis, but radioactivity exposure can also induce the risk of cancer for patients. Sparse …
diagnosis, but radioactivity exposure can also induce the risk of cancer for patients. Sparse …
Weighted filtered back-projection for source translation computed tomography reconstruction
J Chen, H Yu, S Ni, C Liu, W Ge… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Micro-computed tomography (micro-CT) is an indispensable tool to provide attenuation-
based, high-resolution 3-D images in scientific research. However, its current available …
based, high-resolution 3-D images in scientific research. However, its current available …
Deep learning-based sinogram completion for low-dose CT
Patient radiation dose associated with X-ray CT is a significant concern in the medical
community. One of the ways to reduce patient dose is to acquire projection data at fewer …
community. One of the ways to reduce patient dose is to acquire projection data at fewer …