Synthesizing Contrast-Enhanced MR Images from Noncontrast MR Images Using Deep Learning
G Murugesan, FY Fang, M Achilleos… - American Journal …, 2024 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Recent developments in deep learning methods offer a
potential solution to the need for alternative imaging methods due to concerns about the …
potential solution to the need for alternative imaging methods due to concerns about the …
Contrast‐enhanced MRI synthesis using dense‐dilated residual convolutions based 3D network toward elimination of gadolinium in neuro‐oncology
Recent studies have raised broad safety and health concerns about using of gadolinium
contrast agents during magnetic resonance imaging (MRI) to enhance identification of active …
contrast agents during magnetic resonance imaging (MRI) to enhance identification of active …
Can deep learning replace gadolinium in neuro-oncology?: a reader study
Objectives This study proposes and evaluates a deep learning method that predicts
surrogate images for contrast-enhanced T1 from multiparametric magnetic resonance …
surrogate images for contrast-enhanced T1 from multiparametric magnetic resonance …
Synthesizing MR image contrast enhancement using 3D high-resolution ConvNets
Objective: Gadolinium-based contrast agents (GBCAs) have been widely used to better
visualize disease in brain magnetic resonance imaging (MRI). However, gadolinium …
visualize disease in brain magnetic resonance imaging (MRI). However, gadolinium …
[HTML][HTML] 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) …
diagnostic images beyond that attainable with the standard doses of contrast agents (CAs) …
Deep learning–based methods may minimize GBCA dosage in brain MRI
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 …
brain MRI exams with reduced gadolinium-based contrast agent (GBCA) dose to provide …
Magnetic resonance imaging contrast enhancement synthesis using cascade networks with local supervision
Purpose Gadolinium‐based contrast agents (GBCAs) are widely administrated in MR
imaging for diagnostic studies and treatment planning. Although GBCAs are generally …
imaging for diagnostic studies and treatment planning. Although GBCAs are generally …
[HTML][HTML] Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort …
CJ Preetha, H Meredig, G Brugnara… - The Lancet Digital …, 2021 - thelancet.com
Background Gadolinium-based contrast agents (GBCAs) are widely used to enhance tissue
contrast during MRI scans and play a crucial role in the management of patients with cancer …
contrast during MRI scans and play a crucial role in the management of patients with cancer …
Contrast-enhanced brain MRI synthesis with deep learning: key input modalities and asymptotic performance
A Bône, S Ammari, JP Lamarque… - 2021 IEEE 18th …, 2021 - ieeexplore.ieee.org
Contrast-enhanced medical images offer vital insights for the accurate diagnosis,
characterization and treatment of tumors, and are routinely used worldwide. Acquiring such …
characterization and treatment of tumors, and are routinely used worldwide. Acquiring such …
[HTML][HTML] Toward deep learning replacement of gadolinium in neuro-oncology: A review of contrast-enhanced synthetic MRI
E Moya-Sáez, R de Luis-García… - Frontiers in …, 2023 - frontiersin.org
Gadolinium-based contrast agents (GBCAs) have become a crucial part of MRI acquisitions
in neuro-oncology for the detection, characterization and monitoring of brain tumors …
in neuro-oncology for the detection, characterization and monitoring of brain tumors …