In recent years, Compressed Sense technology has emerged as a promising image reconstruction method, demonstrating great potential in reducing data acquisition time and improving image quality. This study aims to explore the application of compressed sense technology in cerebral magnetic resonance angiography (MRA), compare it with conventional vascular imaging techniques, and evaluate its advantages in clinical practice. The study utilized a Philips Ingenia 3.0T magnetic resonance imaging (MRI) system and included a certain number of normal subjects and patients with cerebral vascular lesions. Both conventional vascular imaging techniques and compressed sense technology were employed for scanning, and the differences between the two methods in terms of image quality, acquisition time, and other aspects were compared. Image quality assessment indicators included overall image quality, blood vessel display clarity, and blood vessel contrast, among others. Additionally, the application of both techniques in specific clinical cases was analyzed. The results showed that, compared to conventional vascular imaging techniques, compressed sense technology significantly shortened the scanning time while ensuring image quality. In the detection of certain diseases such as cerebral aneurysms and ischemic cerebrovascular lesions, compressed sense technology not only effectively improved the clarity and contrast of blood vessel display but also made the detection process more convenient and accurate. Moreover, for patients with severe movement disorders or those who cannot tolerate long scanning times, compressed sense technology is a more suitable choice. In conclusion, compressed sense technology exhibits significant advantages in cerebral MRA. It demonstrates clear advantages over conventional vascular imaging techniques in terms of image quality, acquisition time, and other aspects, and it has high application value in the detection of specific diseases. We recommend the extensive application of compressed sense technology in clinical practice and further exploration of its application in other areas of MRI imaging.