Advances in metal artifact reduction in CT images: A review of traditional and novel metal artifact reduction techniques
M Selles, JAC van Osch, M Maas, MF Boomsma… - European Journal of …, 2024 - Elsevier
Metal artifacts degrade CT image quality, hampering clinical assessment. Numerous metal
artifact reduction methods are available to improve the image quality of CT images with …
artifact reduction methods are available to improve the image quality of CT images with …
Solving inverse problems in medical imaging with score-based generative models
Reconstructing medical images from partial measurements is an important inverse problem
in Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). Existing solutions …
in Computed Tomography (CT) and Magnetic Resonance Imaging (MRI). Existing solutions …
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 …
CBCT‐Based synthetic CT image generation using conditional denoising diffusion probabilistic model
Background Daily or weekly cone‐beam computed tomography (CBCT) scans are
commonly used for accurate patient positioning during the image‐guided radiotherapy …
commonly used for accurate patient positioning during the image‐guided radiotherapy …
TransCT: dual-path transformer for low dose computed tomography
Low dose computed tomography (LDCT) has attracted more and more attention in routine
clinical diagnosis assessment, therapy planning, etc., which can reduce the dose of X-ray …
clinical diagnosis assessment, therapy planning, etc., which can reduce the dose of X-ray …
DuDoDR-Net: Dual-domain data consistent recurrent network for simultaneous sparse view and metal artifact reduction in computed tomography
Sparse-view computed tomography (SVCT) aims to reconstruct a cross-sectional image
using a reduced number of x-ray projections. While SVCT can efficiently reduce the radiation …
using a reduced number of x-ray projections. While SVCT can efficiently reduce the radiation …
Dual-energy CT based mass density and relative stopping power estimation for proton therapy using physics-informed deep learning
Proton therapy requires accurate dose calculation for treatment planning to ensure the
conformal doses are precisely delivered to the targets. The conversion of CT numbers to …
conformal doses are precisely delivered to the targets. The conversion of CT numbers to …
InDuDoNet: An interpretable dual domain network for CT metal artifact reduction
For the task of metal artifact reduction (MAR), although deep learning (DL)-based methods
have achieved promising performances, most of them suffer from two problems: 1) the CT …
have achieved promising performances, most of them suffer from two problems: 1) the CT …
DICDNet: deep interpretable convolutional dictionary network for metal artifact reduction in CT images
Computed tomography (CT) images are often impaired by unfavorable artifacts caused by
metallic implants within patients, which would adversely affect the subsequent clinical …
metallic implants within patients, which would adversely affect the subsequent clinical …
Unsupervised polychromatic neural representation for ct metal artifact reduction
Emerging neural reconstruction techniques based on tomography (eg, NeRF, NeAT, and
NeRP) have started showing unique capabilities in medical imaging. In this work, we …
NeRP) have started showing unique capabilities in medical imaging. In this work, we …