Harmonization of cerebral blood flow measurements by multi-delay 3D gradient and spin echo, and single-delay 2D echo planar imaging.

PurposeCerebral blood flow (CBF) is commonly measured by pseudo-continuous arterial spin labeling (PCASL) in human research, but recent advancements in methodology have limited data reuse. The object of this work is to harmonize two distinct PCASL techniques within a cohort with a wide range of CBF values. MethodsParticipants had two PCASL sequences collected within a single session: a single post-label delay sequence with a 2D echo-planar imaging (EPI) readout, "CBF2D,1PLD", and a five post-label delay sequence with gradient and spin echo (GRASE) 3D readout, "CBF3D,5PLD". Linear regression modeling to impute CBF3D,5PLD from CBF2D,1PLD, hemoglobin, and age were assessed within gray matter (GM) and white matter (WM) using leave-one-out cross-validation for prediction errors and confidence intervals. Within-subject coefficient of variation (wsCV) and inter-class correlation coefficient (ICC) were calculated using CBF3D,5PLD imputed vs. measured as pseudo test-retest pairs. ResultsFifty participants, ages 8-45 (median 25) years, had usable CBF3D,5PLD and CBF2D,1PLD, including 17 participants with sickle cell disease (SCD), who were matched by age (p = 0.90) and sex (p = 0.16) to those without SCD. A multiple linear regression model including hemoglobin and age fit GM CBF (R2adj. = 0.82; for WM CBF R2adj. = 0.78). The wsCV for CBF3D,5PLD was 9.1% for GM, 11.3% for WM. ICC was 0.89 for GM and 0.87 for WM. Models without age or hemoglobin fit slightly worse. ConclusionOur study demonstrates feasibility to impute 3D-GRASE multi-PLD CBF from a 2D-EPI single-PLD technique, which promotes data sharing and harmonization.