<p>Cerebrovascular accident is a leading cause of death and disability. Early detection of cerebrovascular diseases is crucial for timely treatment. This study introduces a novel method for the simultaneous generation of color-coded arteriography, venography, and dynamic angiography derived from dynamic contrast-enhanced magnetic resonance angiography and computed tomography perfusion. By realigning source images into time series volume data, this approach enables the classification of five dynamic phases, allowing for the creation of detailed angiographic images and facilitating a comprehensive evaluation of cerebrovascular accidents in the emergency room. The method enables rapid assessment of ischemic strokes, improving patient selection for recanalization therapy, and aids in the early diagnosis of other cerebrovascular diseases, including cerebral venous thrombosis and arteriovenous shunts. We demonstrate the clinical applications of this technique, highlighting its potential to enhance the accuracy and speed of cerebrovascular imaging, making it a valuable first-line diagnostic tool for stroke patients.</p>