Clinical Evaluation of ODIS-1 Orthodontic Operation and Image Quality of Digital Imaging System.

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Tác giả: Rui Gao, Hong Huang, Jinlin Song, Yang Wang, Chongzhi Yin, Guizhi Zhang, Yuanli Zhang

Ngôn ngữ: eng

Ký hiệu phân loại: 387.74044 Air transportation

Thông tin xuất bản: United Arab Emirates : Current medical imaging , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 697190

 BACKGROUND: With the rapid development of computer technology, the application of digital technology to the display and processing of medical images has become a common concern. In recent years, oral digital imaging technology has received more and more attention. OBJECTIVE: This paper mainly aims at the ODIS-1 oral digital imaging system to analyze and study the image quality and image aims at the ODIS-1 oral digital imaging system to analyze and study the image quality and processing technology, of which X-ray imaging is indispensable. METHODS: In this paper, the ODIS-1 digital scanning technology is used to detect different types of dental tissues, and its application in diagnosing oral diseases is evaluated. This paper takes 320 inpatients as the research object and uses Kodak dental film to compare the image quality of different positions. RESULTS: It is found that there is no significant difference in image quality between the maxillary anterior teeth and mandibular anterior teeth and the maxillary posterior teeth and mandibular posterior teeth (P>
 0.05)
  the image quality of maxillary anterior teeth, mandibular anterior teeth, and maxillary posterior teeth and mandibular teeth are significantly different (P<
 0.05)
  among the various positions of the ODIS-1 oral digital imaging system, the image quality of the anterior teeth area is the best, while the image quality of the maxillary posterior teeth area is the worst. CONCLUSION: However, the system has a variety of image post-processing functions, which can adjust the brightness and contrast of the image arbitrarily, select the area of interest in the image according to the detection requirements, and perform local amplification, edge enhancement, and other technologies to make the image achieve the best effect. In the case of poor image quality, the clarity of the image can be further improved through image post-processing and analysis.
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