X-ray-computed tomography contrast agents
H Lusic, MW Grinstaff - Chemical reviews, 2013 - ACS Publications
X-ray-computed tomography (CT) is a well-established tissueimaging technique employed
in a variety of research and clinical settings. 1 Specifically, CT is a noninvasive clinical …
in a variety of research and clinical settings. 1 Specifically, CT is a noninvasive clinical …
An introduction to deep learning in medical physics: advantages, potential, and challenges
As one of the most popular approaches in artificial intelligence, deep learning (DL) has
attracted a lot of attention in the medical physics field over the past few years. The goals of …
attracted a lot of attention in the medical physics field over the past few years. The goals of …
Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction
Commercial iterative reconstruction techniques help to reduce the radiation dose of
computed tomography (CT), but altered image appearance and artefacts can limit their …
computed tomography (CT), but altered image appearance and artefacts can limit their …
Comparing Unet training with three different datasets to correct CBCT images for prostate radiotherapy dose calculations
Image intensity correction is crucial to enable cone beam computed tomography (CBCT)
based radiotherapy dose calculations. This study evaluated three different deep learning …
based radiotherapy dose calculations. This study evaluated three different deep learning …
Dual-and multi-energy CT for particle stopping-power estimation: current state, challenges and potential
Range uncertainty has been a key factor preventing particle radiotherapy from reaching its
full physical potential. One of the main contributing sources is the uncertainty in estimating …
full physical potential. One of the main contributing sources is the uncertainty in estimating …
MV CBCT-based synthetic CT generation using a deep learning method for rectal cancer adaptive radiotherapy
J Zhao, Z Chen, J Wang, F Xia, J Peng, Y Hu… - Frontiers in …, 2021 - frontiersin.org
Due to image quality limitations, online Megavoltage cone beam CT (MV CBCT), which
represents real online patient anatomy, cannot be used to perform adaptive radiotherapy …
represents real online patient anatomy, cannot be used to perform adaptive radiotherapy …
A streak artifact reduction algorithm in sparse‐view CT using a self‐supervised neural representation
Purpose Sparse‐view computed tomography (CT) has been attracting attention for its
reduced radiation dose and scanning time. However, analytical image reconstruction …
reduced radiation dose and scanning time. However, analytical image reconstruction …
Image-domain material decomposition for spectral CT using a generalized dictionary learning
The spectral computed tomography (CT) has huge advantages by providing accurate
material information. Unfortunately, due to the instability or overdetermination of the material …
material information. Unfortunately, due to the instability or overdetermination of the material …
Convolutional neural network–based metal and streak artifacts reduction in dental CT images with sparse‐view sampling scheme
Purpose Sparse‐view sampling has attracted attention for reducing the scan time and
radiation dose of dental cone‐beam computed tomography (CBCT). Recently, various deep …
radiation dose of dental cone‐beam computed tomography (CBCT). Recently, various deep …
Performance evaluation of digital breast tomosynthesis systems: comparison of current virtual clinical trial methods
NW Marshall, H Bosmans - Physics in Medicine & Biology, 2022 - iopscience.iop.org
Virtual clinical trials (VCT) have been developed by a number of groups to study breast
imaging applications, with the focus on digital breast tomosynthesis imaging. In this review …
imaging applications, with the focus on digital breast tomosynthesis imaging. In this review …