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Cerebral aneurysm is a cerebrovascular disorder in which weakening in the walls of brain blood vessels causing a swelling or dilation of blood vessels. The disease is also called intracranial aneurysms and usually occurs around the arteries at the base of the brain called the Circle of Willis. To date, methods of diagnosis of cerebral aneurysms are still done manually by performing direct observation of medical imagery from CT (Computed Tomography) or MRI (Magnetic Resonance Imaging) images. In addition, medical images are also shown in monochrome thereby increasing the difficulties in making observations. Therefore we need a more effective detection method for detection of aneurysms because presently this process is highly dependent on the subjectivity of the observer. This study was aimed to design a method for detection of cerebral aneurysms by using 2D DSA imaging technique, based on the calculation of Time to Peak (TTP) and Time Duration (TD) of flow of contrast agent in the blood vessels. This method was designed and simulated using Matlab software. The results of detection of 2-dimensional image segmentation of blood vessels were visualized by color system based on a specific index. The simulation showed good results. Visualization of blood vessels based on Time to Peak (TTP) calculation produced an image in which arteries and veins were segmented with different color. Visualization based on Time Duration (TD) calculation produced an image where an aneurysm can be shown in different color than normal blood vessels.