To provide a volumetric segmentation method for brain region analysis, in particular, but not limited to, regions of the basal ganglia such as the subthalamic nucleus (STN).SOLUTION: The method serves for visualization and localization within the subcortical region of the basal ganglia, as an example of prediction of a region of interest for deep brain stimulation procedures. A statistical shape model is applied to various modes of the STN, or the corresponding regions of interest, and its predictors on high-quality training sets obtained from high-field, e.g., 7-T, MR imaging. The partial least squares regression (PLSR) method is applied to induce the spatial relationship between the region to be predicted, e.g., the STN, and its predictors. The prediction accuracy for validating the invention is evaluated by measuring the shape similarity and the errors in position, size and orientation between manually segmented STN and its predicted one.SELECTED DRAWING: Figure 2
METHODS AND SYSTEMS FOR BRAIN IMAGE PIPELINE AND FOR BRAIN IMAGE REGION LOCATION AND SHAPE PREDICTION