Deep learning image reconstruction generates thinner slice iodine maps with improved image quality to increase diagnostic acceptance and lesion conspicuity: a …
J Zhong, L Wang, C Yan, Y Xing, Y Hu, D Ding… - BMC Medical …, 2024 - Springer
Background To assess the improvement of image quality and diagnostic acceptance of
thinner slice iodine maps enabled by deep learning image reconstruction (DLIR) in …
thinner slice iodine maps enabled by deep learning image reconstruction (DLIR) in …
Just give the contrast? Appraisal of guidelines on intravenous iodinated contrast media use in patients with kidney disease
J Zhong, L Chen, Y Xing, J Lu, Y Shi, Y Wang… - Insights into …, 2024 - Springer
Objective To appraise the quality of guidelines on intravenous iodinated contrast media
(ICM) use in patients with kidney disease, and to compare the recommendations among …
(ICM) use in patients with kidney disease, and to compare the recommendations among …
Deep learning imaging reconstruction of reduced-dose 40 keV virtual monoenergetic imaging for early detection of colorectal cancer liver metastases
S Li, L Yuan, T Lu, X Yang, W Ren, L Wang… - European Journal of …, 2023 - Elsevier
Objective To explore whether reduced-dose (RD) gemstone spectral imaging (GSI) and
deep learning image reconstruction (DLIR) of 40 keV virtual monoenergetic image (VMI) …
deep learning image reconstruction (DLIR) of 40 keV virtual monoenergetic image (VMI) …
Deep learning image reconstruction for low-kiloelectron volt virtual monoenergetic images in abdominal dual-energy CT: medium strength provides higher lesion …
J Zhong, Y Hu, Y Xing, L Wang, J Li, W Lu… - Acta …, 2024 - journals.sagepub.com
Background The best settings of deep learning image reconstruction (DLIR) algorithm for
abdominal low-kiloelectron volt (keV) virtual monoenergetic imaging (VMI) have not been …
abdominal low-kiloelectron volt (keV) virtual monoenergetic imaging (VMI) have not been …
Impacts of Adaptive Statistical Iterative Reconstruction-V and Deep Learning Image Reconstruction Algorithms on Robustness of CT Radiomics Features: Opportunity …
J Zhong, Z Wu, L Wang, Y Chen, Y Xia, L Wang… - Journal of Imaging …, 2024 - Springer
This study aims to investigate the influence of adaptive statistical iterative reconstruction-V
(ASIR-V) and deep learning image reconstruction (DLIR) on CT radiomics feature …
(ASIR-V) and deep learning image reconstruction (DLIR) on CT radiomics feature …
Pancreatic cancer detection with dual-energy CT: diagnostic performance of 40 keV and 70 keV virtual monoenergetic images
Y Noda, T Ando, T Kaga, N Yamda, T Seko… - La radiologia …, 2024 - Springer
Purpose To compare the diagnostic performance of 40 keV and 70 keV virtual
monoenergetic images (VMIs) generated from dual-energy CT in the detection of pancreatic …
monoenergetic images (VMIs) generated from dual-energy CT in the detection of pancreatic …
Ultra-High-Resolution Photon-Counting Detector CT Benefits Visualization of Abdominal Arteries: A Comparison to Standard-Reconstruction
H Zhang, Y Xing, L Wang, Y Hu, Z Xu, H Chen… - Journal of Imaging …, 2024 - Springer
This study aimed to investigate the potential benefit of ultra-high-resolution (UHR) photon-
counting detector CT (PCD-CT) angiography in visualization of abdominal arteries in …
counting detector CT (PCD-CT) angiography in visualization of abdominal arteries in …
[HTML][HTML] A paradigm shift in oncology imaging: a prospective cross-sectional study to assess low-dose deep learning image reconstruction versus standard-dose …
P Hou, N Liu, X Feng, Y Chen, H Wang… - … Imaging in Medicine …, 2024 - pmc.ncbi.nlm.nih.gov
Background Low-kiloelectron volt (keV) virtual monochromatic images (VMIs) from low-dose
(LD) dual-energy computed tomography (DECT) can enhance lesion contrast but suffer from …
(LD) dual-energy computed tomography (DECT) can enhance lesion contrast but suffer from …
Performance evaluation of deep learning image reconstruction algorithm for dual-energy spectral CT imaging: A phantom study
H Li, Z Li, S Gao, J Hu, Z Yang… - Journal of X-Ray …, 2024 - content.iospress.com
OBJECTIVES: To evaluate the performance of deep learning image reconstruction (DLIR)
algorithm in dual-energy spectral CT (DEsCT) as a function of radiation dose and image …
algorithm in dual-energy spectral CT (DEsCT) as a function of radiation dose and image …
Modern Computer Tomography with Artificial Intelligence and Deep Learning Applications
C Deniz - Artificial Intelligence Theory and Applications, 2023 - dergipark.org.tr
X-ray computed tomography (CT) aims production of 2-dimensional mass-density (or X-ray
attenuation coefficient) maps of the sliced interior body by using directed X-rays through it to …
attenuation coefficient) maps of the sliced interior body by using directed X-rays through it to …