{'fraction_non_alphanumeric': 0.010810810810810811, 'fraction_numerical': 0.0, 'mean_word_length': 5.390804597701149, '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}}
Analysis of chest CT images using Wigner distribution

This paper addresses the generic issue of radiological image analysis using spectral methods. We present a new local spatial-frequency approach for analysis of chest CT images. The method is based on the use of two dimensional Wigner distribution allowing a precise tracking in space of frequential characteristics of an image. Performance of the method in both geometric structure and optic density difference detection is illustrated, and its potentially great application interest is demonstrated.