[HTML][HTML] The use of deep learning methods in low-dose computed tomography image reconstruction: a systematic review
Conventional reconstruction techniques, such as filtered back projection (FBP) and iterative
reconstruction (IR), which have been utilised widely in the image reconstruction process of …
reconstruction (IR), which have been utilised widely in the image reconstruction process of …
Structure-preserved meta-learning uniting network for improving low-dose CT quality
Objective. Deep neural network (DNN) based methods have shown promising performances
for low-dose computed tomography (LDCT) imaging. However, most of the DNN-based …
for low-dose computed tomography (LDCT) imaging. However, most of the DNN-based …
Meta-learning based interactively connected clique U-net for quantitative susceptibility mapping
Quantitative susceptibility mapping (QSM) is a phase-based magnetic resonance imaging
(MRI) technique that quantitatively estimates magnetic susceptibility values of tissues and …
(MRI) technique that quantitatively estimates magnetic susceptibility values of tissues and …
Semi-supervised low-dose SPECT restoration using sinogram inner-structure aware graph neural network
S Li, K Chen, X Ma, Z Liang - Physics in Medicine & Biology, 2024 - iopscience.iop.org
Objective. To mitigate the potential radiation risk, low-dose single photon emission
computed tomography (SPECT) is of increasing interest. Numerous deep learning-based …
computed tomography (SPECT) is of increasing interest. Numerous deep learning-based …
Meta-Learning Enabled Score-Based Generative Model for 1.5 T-Like Image Reconstruction from 0.5 T MRI
Magnetic resonance imaging (MRI) is known to have reduced signal-to-noise ratios (SNR) at
lower field strengths, leading to signal degradation when producing a low-field MRI image …
lower field strengths, leading to signal degradation when producing a low-field MRI image …