Limited-angle ct reconstruction with generative adversarial network sinogram inpainting and unsupervised artifact removal
E Xie, P Ni, R Zhang, X Li - Applied Sciences, 2022 - mdpi.com
High-quality limited-angle computed tomography (CT) reconstruction is in high demand in
the medical field. Being unlimited by the pairing of sinogram and the reconstructed image …
the medical field. Being unlimited by the pairing of sinogram and the reconstructed image …
3D-printed medical models supply chain: barriers modeling and analysis
VK Verma, SS Kamble, L Ganapathy - Rapid Prototyping Journal, 2023 - emerald.com
Purpose This study aims to identify 3D-printed medical model (3DPMM) supply chain
barriers that affect the supply chain of 3DPMM in the Indian context and investigate the …
barriers that affect the supply chain of 3DPMM in the Indian context and investigate the …
[Retracted] Effect Evaluation of Platelet‐Rich Plasma Combined with Vacuum Sealing Drainage on Serum Inflammatory Factors in Patients with Pressure Ulcer by …
J Yang, C Xiao, H Wen, K Sun, X Wu… - … Methods in Medicine, 2022 - Wiley Online Library
This work was to explore the efficacy of intelligent algorithm‐based computed tomography
(CT) to evaluate platelet‐rich plasma (PRP) combined with vacuum sealing drainage (VSD) …
(CT) to evaluate platelet‐rich plasma (PRP) combined with vacuum sealing drainage (VSD) …
Update on the use of artificial intelligence in hepatobiliary MR imaging
T Nakaura, N Kobayashi, N Yoshida… - … Resonance in Medical …, 2023 - jstage.jst.go.jp
The application of machine learning (ML) and deep learning (DL) in radiology has
expanded exponentially. In recent years, an extremely large number of studies have …
expanded exponentially. In recent years, an extremely large number of studies have …
Feasibility study of super-resolution deep learning-based reconstruction using k-space data in brain diffusion-weighted images
K Matsuo, T Nakaura, K Morita, H Uetani, Y Nagayama… - Neuroradiology, 2023 - Springer
Purpose The purpose of this study is to evaluate the influence of super-resolution deep
learning-based reconstruction (SR-DLR), which utilizes k-space data, on the quality of …
learning-based reconstruction (SR-DLR), which utilizes k-space data, on the quality of …
Assessing the effects of deep learning reconstruction on abdominal CT without arm elevation
N Fujita, K Yasaka, A Katayama… - Canadian …, 2023 - journals.sagepub.com
Purpose: To evaluate the effects of deep learning reconstruction (DLR) on image quality of
abdominal computed tomography (CT) in patients without arm elevation compared with …
abdominal computed tomography (CT) in patients without arm elevation compared with …
Effectiveness of deep learning reconstruction on standard to ultra-low-dose high-definition chest CT images
N Hamabuchi, Y Ohno, H Kimata, Y Ito, K Fujii… - Japanese journal of …, 2023 - Springer
Purpose Deep learning reconstruction (DLR) has been introduced by major vendors, tested
for CT examinations of a variety of organs, and compared with other reconstruction methods …
for CT examinations of a variety of organs, and compared with other reconstruction methods …
High through-plane resolution CT imaging with self-supervised deep learning
CT images for radiotherapy planning are usually acquired in thick slices to reduce the
imaging dose, especially for pediatric patients, and to lessen the need for contouring and …
imaging dose, especially for pediatric patients, and to lessen the need for contouring and …
Comparison of lung CT number and airway dimension evaluation capabilities of ultra-high-resolution CT, using different scan modes and reconstruction methods …
Y Ohno, N Akino, Y Fujisawa, H Kimata, Y Ito, K Fujii… - European …, 2023 - Springer
Objective Ultra-high-resolution CT (UHR-CT), which can be applied normal resolution (NR),
high-resolution (HR), and super-high-resolution (SHR) modes, has become available as in …
high-resolution (HR), and super-high-resolution (SHR) modes, has become available as in …
An optimized EBRSA-Bi LSTM model for highly undersampled rapid CT image reconstruction
AVP Sarvari, K Sridevi - Biomedical Signal Processing and Control, 2023 - Elsevier
COVID-19 has spread all over the world, causing serious panic around the globe. Chest
computed tomography (CT) images are integral in confirming COVID positive patients …
computed tomography (CT) images are integral in confirming COVID positive patients …