Fig. 5: A representative example and quantitative metrics of deep-learning resting-state cerebrovascular reactivity (DLRS CVR) and bolus arrival time (DLRS BAT) at different spatial resolutions.
From: Deep-learning-enabled brain hemodynamic mapping using resting-state fMRI
a, b, Representative DLRS CVR (a) and DLRS BAT (b) maps collected using 2 × 2 × 2 mm3, 2.4 × 2.4 × 2.4 mm3, and 3 × 3 × 3 mm3 BOLD protocols from a healthy volunteer. c–f Boxplots illustrating similarity between DLRS CVR maps and HC CVR maps, including Pearson cross-correlation (c), structure similarity index metric (SSIM) (d), peak signal-to-noise ratio (PSNR) (e), root-mean-square error (RMSE) (f). In the boxplots, the line shows the median, the box indicates the interquartile range (IQR), and the whiskers stretch to 1.5 times the IQR. g–j Similarity indices used to compare between DLRS BAT and HC BAT maps.
