https://www.selleckchem.com/pr....oducts/17-AAG(Geldan
To develop and evaluate a real-time phase contrast (PC) MRI protocol via complex-difference deep learning (DL) framework. DL used two 3D U-nets to separately filter aliasing artifact from radial real-time velocity-compensated and complex-difference images. U-nets were trained with synthetic real-time PC generated from electrocardiograph (ECG) -gated, breath-hold, segmented PC (ECG-gated segmented PC) acquired at the ascending aorta of 510 patients. In 21 patients, free-breathing, ungated real-time (acceleration rate = 28.8)
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