Artificial intelligence to reduce or eliminate the need for gadolinium-based contrast agents in brain and cardiac MRI: a literature review

CA Mallio, A Radbruch, K Deike-Hofmann… - Investigative …, 2023 - journals.lww.com
Brain and cardiac MRIs are fundamental noninvasive imaging tools, which can provide
important clinical information and can be performed without or with gadolinium-based …

Reducing gadolinium contrast with artificial intelligence

B Tsui, E Calabrese, G Zaharchuk… - Journal of Magnetic …, 2023 - Wiley Online Library
Gadolinium contrast is an important agent in magnetic resonance imaging (MRI), particularly
in neuroimaging where it can help identify blood–brain barrier breakdown from an …

Deep learning enables reduced gadolinium dose for contrast‐enhanced brain MRI

E Gong, JM Pauly, M Wintermark… - Journal of magnetic …, 2018 - Wiley Online Library
Background There are concerns over gadolinium deposition from gadolinium‐based
contrast agents (GBCA) administration. Purpose To reduce gadolinium dose in contrast …

Artificial contrast: deep learning for reducing gadolinium-based contrast agents in neuroradiology

R Haase, T Pinetz, E Kobler, D Paech… - Investigative …, 2023 - journals.lww.com
Deep learning approaches are playing an ever-increasing role throughout diagnostic
medicine, especially in neuroradiology, to solve a wide range of problems such as …

MRI of the Brain: What Is Driving Innovation in 2023?

CP Hess - Radiology, 2023 - pubs.rsna.org
Patient access to MRI is additionally limited by requirements for exogenous contrast media.
Contrast-enhanced examinations are logistically more complex to perform, and gadolinium …

Synthetic post-contrast imaging through artificial intelligence: clinical applications of virtual and augmented contrast media

L Pasquini, A Napolitano, M Pignatelli, E Tagliente… - Pharmaceutics, 2022 - mdpi.com
Contrast media are widely diffused in biomedical imaging, due to their relevance in the
diagnosis of numerous disorders. However, the risk of adverse reactions, the concern of …

Can virtual contrast enhancement in brain MRI replace gadolinium?: a feasibility study

J Kleesiek, JN Morshuis, F Isensee… - Investigative …, 2019 - journals.lww.com
Objectives Gadolinium-based contrast agents (GBCAs) have become an integral part in
daily clinical decision making in the last 3 decades. However, there is a broad consensus …

Amplifying the effects of contrast agents on magnetic resonance images using a deep learning method trained on synthetic data

AF Mingo, SC Serra, A Macula, D Bella… - Investigative …, 2023 - journals.lww.com
Objectives Artificial intelligence (AI) methods can be applied to enhance contrast in
diagnostic images beyond that attainable with the standard doses of contrast agents (CAs) …

Deep learning–based methods may minimize GBCA dosage in brain MRI

H Luo, T Zhang, NJ Gong, J Tamir, SP Venkata… - European …, 2021 - Springer
Objectives To evaluate the clinical performance of a deep learning (DL)–based method for
brain MRI exams with reduced gadolinium-based contrast agent (GBCA) dose to provide …

Reduction of gadolinium-based contrast agents in MRI using convolutional neural networks and different input protocols: limited interchangeability of synthesized …

R Haase, T Pinetz, Z Bendella, E Kobler… - Investigative …, 2023 - journals.lww.com
Objectives The purpose of this study was to implement a state-of-the-art convolutional neural
network used to synthesize artificial T1-weighted (T1w) full-dose images from corresponding …