1. A method for computer aided detection of pulmonary emboli, comprising: acquiring medical image data; identifying a pulmonary embolism candidate comprising a cluster of voxels; determining whether the candidate is a true pulmonary embolism or a false positive based on a spatial distribution of intensity values for the voxels of the cluster of voxels; and present the pulmonary embolism candidate to a user when the candidate is determined to be a true pulmonary embolism, wherein determining whether the candidate is a true pulmonary embolism or a false positive based on the spatial distribution of intensity values for each voxel of the cluster of voxels includes: representing the cluster of voxels as a gray level co-occurrence matrix; calculating one or more features from the co-occurrence matrix; and determining whether the candidate is a true pulmonary embolism based on the calculated values of the one or more features.