A GNN adapted from cardiovascular modeling predicts Poiseuille-model blood flow and pressure in new brain vessel networks from MRA-derived graphs, reaching Pearson correlations of 0.727 (pressure) and 0.824 (flow).
Informed consent was obtained from all individual participants included in the study
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Graph Neural Network for Cerebral Blood Flow Prediction With Clinical Datasets
A GNN adapted from cardiovascular modeling predicts Poiseuille-model blood flow and pressure in new brain vessel networks from MRA-derived graphs, reaching Pearson correlations of 0.727 (pressure) and 0.824 (flow).