- Prediction of Surgical Outcomes in Normal Pressure Hydrocephalus by MR Elastography
MR elastography allows noninvasive evaluation of mechanical properties of the brain altered by NPH. Different morphologic phenotypes of NPH are associated with unique mechanical signatures. Pattern analysis based on MRE is a promising method for improving diagnosis to distinguish NPH from other neurologic disorders that may have overlapping imaging and/or clinical presentations (such as Parkinson disease, Alzheimer disease, or progressive supranuclear palsy) and for predicting shunt outcomes.
- 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.
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