The COVID-19 has been confirmed to spread from person to person, mainly transmitting through respiratory secretions or direct contact. At present, the diagnosis of COVID-19 pneumonia is based on clinical symptoms, contact history of epidemic area, imaging diagnosis, and nucleic acid detection. However, false negative in nucleic acid detection has been reported, and the clinical symptoms may be atypical that may cause misdiagnosis and make the situation spread. Therefore, the imaging examination becomes particularly important. In this study, the CT images of 130 patients diagnosed as COVID-19 pneumonia were collected and their imaging features were analyzed. The NCP was classified for the first time according to its distribution characteristics and the CT signs were further interpreted from the perspectives of anatomy, pathophysiology, and immunity, in order to improve the radiologists’ familiarity with the disease and help make the early diagnosis and show insights in the development of disease on follow-up CT.