Compressed-sensing-inspired reconstruction algorithms in low-dose computed tomography: A review
AB Konovalov - Physica Medica, 2024 - Elsevier
Background Optimization of the dose the patient receives during scanning is an important
problem in modern medical X-ray computed tomography (CT). One of the basic ways to its …
problem in modern medical X-ray computed tomography (CT). One of the basic ways to its …
PGNet: Projection generative network for sparse‐view reconstruction of projection‐based magnetic particle imaging
Background Magnetic particle imaging (MPI) is a novel tomographic imaging modality that
scans the distribution of superparamagnetic iron oxide nanoparticles. However, it is time …
scans the distribution of superparamagnetic iron oxide nanoparticles. However, it is time …
Non-local total-variation (NLTV) minimization combined with reweighted L1-norm for compressed sensing CT reconstruction
The compressed sensing (CS) technique has been employed to reconstruct CT/CBCT
images from fewer projections as it is designed to recover a sparse signal from highly under …
images from fewer projections as it is designed to recover a sparse signal from highly under …
Edge-preserving reconstruction from sparse projections of limited-angle computed tomography using ℓ-regularized gradient prior
W Yu, C Wang, M Huang - Review of Scientific Instruments, 2017 - pubs.aip.org
Accurate images reconstructed from limited computed tomography (CT) data are desired
when reducing the X-ray radiation exposure imposed on patients. The total variation (TV) …
when reducing the X-ray radiation exposure imposed on patients. The total variation (TV) …
Dual-domain sparse-view CT reconstruction with Transformers
C Shi, Y Xiao, Z Chen - Physica Medica, 2022 - Elsevier
Abstract Purpose: Computed Tomography (CT) has been widely used in the medical field.
Sparse-view CT is an effective and feasible method to reduce the radiation dose. However …
Sparse-view CT is an effective and feasible method to reduce the radiation dose. However …
Spectral CT modeling and reconstruction with hybrid detectors in dynamic-threshold-based counting and integrating modes
Spectral CT with photon counting detectors can significantly improve CT performance by
reducing image noise and dose, increasing contrast resolution and material specificity, as …
reducing image noise and dose, increasing contrast resolution and material specificity, as …
REDAEP: Robust and enhanced denoising autoencoding prior for sparse-view CT reconstruction
In X-ray computed tomography, radiation doses are harmful but can be significantly reduced
by intuitively decreasing the number of projections. However, less projection views usually …
by intuitively decreasing the number of projections. However, less projection views usually …
Robust multimaterial decomposition of spectral CT using convolutional neural networks
Z Chen, L Li - Optical Engineering, 2019 - spiedigitallibrary.org
Spectral computed tomography (CT) can reconstruct scanned objects at different energy-
bins and thus solve the multimaterial decomposition (MMD) problem. Because the linear …
bins and thus solve the multimaterial decomposition (MMD) problem. Because the linear …
Region-of-interest micro-focus computed tomography based on an all-optical inverse Compton scattering source
Y Ma, J Hua, D Liu, Y He, T Zhang, J Chen… - Matter and Radiation …, 2020 - pubs.aip.org
Micro-focus computed tomography (CT), which allows the hyperfine structure within objects
to be reconstructed, is a powerful nondestructive testing tool in many fields. However …
to be reconstructed, is a powerful nondestructive testing tool in many fields. However …
A tensor PRISM algorithm for multi-energy CT reconstruction and comparative studies
Different from the single-energy CT (SECT), multi-energy CT (MECT) acquires projection
data at different energy spectra, which makes that the MECT has more sparsity among the …
data at different energy spectra, which makes that the MECT has more sparsity among the …