Towards robust deconvolution of low-dose perfusion CT: Sparse perfusion deconvolution using online dictionary learning

► Dictionaries are learned from high-dose CTP data for low-dose CBF estimation. ► Temporal convolution model is combined with spatial dictionary mapping prior. ► Evaluation on in vivo aneurysmal subarachnoid hemorrhage and normal patients. ► Outperform existing methods in CBF estimation for low-dose CTP data. ► Improve the differentiation between ischemic and normal tissues in the brain.