Gradient-echo based sequences diagrams.

<p>Gradient-echo (GRE) brain parenchyma-tumor mean CNR graphical representation during scanning parameters optimization. Figs A_1,3 and A_2,4 report respectively in vivo and simulated CNR GRE data when changing FA and TR in addition to NSA (5-minute scan limit) in pre-contrast conditions. Same approach is shown in Figs B₁,₃ and B₂,₄ in post-contrast conditions. Black arrows point at selected parameters that typically coincide with the highest CNR providing the <i>“optimal in vivo scanning parameters”</i> in the in vivo approach and the “<i>optimal computed scanning parameters</i>” in the simulated approach. The latter parameters are compared with the “Scanning parameters comparison analysis” and the outcome was reported as successful (YES) or failing (NO). Note that although the graphs are related to a single mouse dataset, there is a good representation of the entire animal cohort.