Stroke is a leading cause of disability and death. Effective treatment
decisions require early and informative vascular imaging. 4D perfusion imaging
is ideal but rarely available within the first hour after stroke, whereas plain
CT and CTA usually are. Hence, we propose a framework to extract a predicted
perfusion map (PPM) derived from CT and CTA images. In all eighteen patients,
we found significantly high spatial similarity (with average Spearman's
correlation = 0.7893) between our predicted perfusion map (PPM) and the T-max
map derived from 4D-CTP. Voxelwise correlations between the PPM and National
Institutes of Health Stroke Scale (NIHSS) subscores for L/R hand motor, gaze,
and language on a large cohort of 2,110 subjects reliably mapped symptoms to
expected infarct locations. Therefore our PPM could serve as an alternative for
4D perfusion imaging, if the latter is unavailable, to investigate blood
perfusion in the first hours after hospital admission.

中风是致残和死亡的主要原因。在有效处理决策中首要是进行早期和信息丰富的血管成像。因此，我们提出了一种从 CT 和 CTA 图像中提取预测灌注图的框架。我们的预测灌注图与 4D-CTP 得到的 T-max 灌注图之间具有显著的空间相似性。通过对 2,110 名患者进行的体素相关性分析，可可靠地将症状与预期的梗塞位置相对应。因此，如果没有 4D 灌注成像，我们的预测灌注图可以作为一种替代方法来研究入院后的前几个小时的血液灌注。