{'fraction_non_alphanumeric': 0.025974025974025976, 'fraction_numerical': 0.004329004329004329, 'mean_word_length': 5.335616438356165, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Virtual bronchoscopy for quantitative airway analysis

We propose a new quantitative method for detailed analysis of the major airways. Using a 3D MDCT chest image as input, the method involves three major steps: (1) segmentation of the airway tree, (2) extraction of the central-axis structure of the major airways, and (3) a novel improvement on the standard full-width half-maximum approach for airway-wall delineation. The method produces measurements for all defined tree branches. These measurements include various airway diameters and cross-sectional area values. To facilitate the examination of these measurements, we also demonstrate an integrated virtual-bronchoscopic analysis system that enables flexible interrogation of the airways. Of particular note are techniques for unraveling and viewing the topography of selected airways. A large series of phantom and human tests confirm the efficacy of our methods.