Evaluation of PC-MRI Flow in Adults Using a Deep Learning-Based Reconstruction Trained on Pediatric Data

We have previously trained a deep learning-based (DL) reconstruction for 2D PC-MRI using fully-sampled (n=194) raw k-space pediatric datasets. This DL-based reconstruction provided up to 9x undersampling with ≤5% error in accuracy and precision of peak velocity and total flow. Herein, we analyze this pediatric trained DL-based reconstruction in adult volunteers (n=3) and adult patients (n=8) and show that our DL-based reconstruction provides ~5% error in accuracy and precision of peak velocity and total flow for up to 7x undersampling.