Quantitative digital subtraction angiography (DSA) analysis can obtain pixel time density curves through changes in contrast agent concentration, and calculate the corresponding parameters of the contrast agent in the area of interest, achieving semi quantitative analysis of patient hemodynamic, used to evaluate the reperfusion status of intravascular therapy in patients with acute ischemic large vessel occlusion stroke. With the widespread application of artificial intelligence technology, especially deep learning algorithms in medical image processing, it is expected to further excavate the DSA images, which can comprehensively evaluate cerebral vascular diseases in multiple phases, angles, and directions.

Brain ischemia; Angiography, digital subtraction; Reperfusion evaluation