The ventral intermediate nucleus (Vim) of the thalamus is a brain lesion target for decreasing tremors in Parkinson’s disease patients. Determination of the location of the Vim is challenging because magnetic resonance imaging (MRI) cannot detect it. Several Vim targeting methods have been proposed, such as Coordinate-based targeting and Guiot’s methods. However, these methods are manually implemented by doctors based on MRI data, so the accuracy of the targeting depends on their memory and foresight. This paper proposes a method to automate Vim localization using Coordinate-based targeting and Guiot’s method. Firstly, this paper determines the plane of the anterior commissure (AC) and the posterior commissure (PC) because to enforce medical images and determine the centre as the middle of AC-PC. Secondly, the coordinates are converted from millimetres to voxels in determining the Vim location. The converter is needed because Coordinate-based targeting and Guiot’s method measure the Vim location in millimetres while the three-dimensional images are measured in voxels. This paper also calculates similarity percentages and averages of error results to determine the accuracy and the robustness of automatic Coordinate-based targeting and Guiot’s. The experiments verify Coordinate-based targeting is higher accuracy and more robust than Guiot’s.