Henk Mutsaerts1, Lena Vaclavu2, Jan-Willem van Dalen2, Andrew Robertson1, Paul Groot2, Mario Masellis1, Edo Richard2, Aart J Nederveen2, and Bradley MacIntosh1
In
this work, we propose a novel method to infer an ATT estimate from the spatial
signal distribution of single-time point ASL CBF maps, using a spatial
Coefficient of Variation (CoV). In a large population of elderly with
hypertension, we compare crushed (C CBF) and non-crushed CBF maps (NC CBF),
from which we derive C CoV and NC CoV, and the FEAST-based ATT estimate. These
explorative results show that both ATT and BMI are associated with NC CoV but
not with NC CBF, suggesting that ATT ‒ as estimated by the
spatial CoV ‒ might serve as a global biomarker of cerebrovascular disease.