- Synthesizing Contrast-Enhanced MR Images from Noncontrast MR Images Using Deep Learning
The authors developed and trained a novel deep learning model utilizing a diverse multi-institutional data set that was able to synthesize virtual contrast-enhanced T1-weighted images for primary brain tumors by using only noncontrast FLAIR, T2-weighted, and T1-weighted images.
- Delayed Enhancement of Intracranial Atherosclerotic Plaque Can Better Differentiate Culprit Lesions: A Multiphase Contrast-Enhanced Vessel Wall MRI Study
This study found that a 9-minute delay in postcontrast acquisition on multiphase contrast-enhanced VW MRI proved to be beneficial for enhancing plaque visibility and for the differentiation between culprit and nonculprit plaques. Additionally, the study showed that culprit and nonculprit plaques exhibit unique enhancement patterns over time.
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