The presence of a cavitary lesion is a radiographic hallmark of pulmonary tuberculosis (TB). The sizes of the cavitary lesion and its proximity to the bronchial tree have been associated with mycobacterial burden. However, the task of evaluating the size of a cavitary lesion is problematic due to differences in reporting methods (e.g., uni-dimensional maximum in the axial plane vs. bi-dimensional) and inter-observer variance. The evaluation of a cavitary lesion is often complicated by their irregular shape, thus the radiographic reporting of the lesion (e.g., spherical volume) might underestimate or overestimate its actual size. The problem with having several methods of reporting is that global communication becomes impaired, and results from different groups more difficult to compare. A computer-aided algorithm would help to diminish the inter-rater differences in reporting, and provide a more precise evaluation of the size of a lesion and its distance from the bronchial tree...