The rupture of intracranial atherosclerotic plaque is a major cause of ischemic stroke. The atherosclerotic plaque burden was proposed to measure the risk of plaque vulnerability, which can be quantified by the volume of the vessel wall calculated on MR images. However, due to the complex shape of intracranial blood vessels, the traditional calculation method may reduce the accuracy of plaque burden measurement,especially overlapped in the curved vessels. Therefore, a tetrahedral based method was proposed to reduce the volume calculation error of intracranial vessel wall. The proposed method was validated in simulation and in-vivo datasets.