AI as a new frontier in contrast media research: bridging the gap between contrast media reduction, the contrast-free question and new application discoveries
Artificial intelligence (AI) techniques are currently harnessed to revolutionize the domain of
medical imaging. This review investigates 3 major AI-driven approaches for contrast agent …
medical imaging. This review investigates 3 major AI-driven approaches for contrast agent …
A new era in magnetic resonance contrast media
VM Runge, JT Heverhagen - Investigative radiology, 2024 - journals.lww.com
Next-generation gadolinium-based contrast agents (GBCAs), including both high relaxivity
agents and targeted agents, and manganese-based agents with a high probably of …
agents and targeted agents, and manganese-based agents with a high probably of …
[HTML][HTML] Pharmacokinetics, safety, and tolerability of the novel tetrameric gadolinium-based MRI contrast agent gadoquatrane in healthy Chinese and Japanese men …
X He, S Matsuki, K Li, Y Sui, K Matsuno, M Ren… - European Journal of …, 2024 - Elsevier
Purpose To investigate the pharmacokinetics, safety, and tolerability of the novel tetrameric
high-relaxivity gadolinium-based contrast agent gadoquatrane in Japanese (Study 1) and …
high-relaxivity gadolinium-based contrast agent gadoquatrane in Japanese (Study 1) and …
Deep learning synthesis of white-blood from dark-blood late gadolinium enhancement cardiac magnetic resonance
TJM Jaspers, B Martens, R Crawley, L Jada… - Investigative …, 2024 - journals.lww.com
Objectives Dark-blood late gadolinium enhancement (DB-LGE) cardiac magnetic resonance
has been proposed as an alternative to standard white-blood LGE (WB-LGE) imaging …
has been proposed as an alternative to standard white-blood LGE (WB-LGE) imaging …
Addressing the Contrast Media Recognition Challenge: A Fully Automated Machine Learning Approach for Predicting Contrast Phases in CT Imaging
Objectives Accurately acquiring and assigning different contrast-enhanced phases in
computed tomography (CT) is relevant for clinicians and for artificial intelligence …
computed tomography (CT) is relevant for clinicians and for artificial intelligence …
fRegGAN with K-space Loss Regularization for Medical Image Translation
IM Baltruschat, F Kreis, A Hoelscher, M Dohmen… - arXiv preprint arXiv …, 2023 - arxiv.org
Generative adversarial networks (GANs) have shown remarkable success in generating
realistic images and are increasingly used in medical imaging for image-to-image …
realistic images and are increasingly used in medical imaging for image-to-image …