利用诊断成像的噪声功率谱和非参数指标分析口腔内x射线传感器的噪声特征。

IF 2.9 2区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE
P Roebers, R Schulze
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引用次数: 0

摘要

数字x射线传感器极大地改变了牙科放射学,使更快的图像采集和减少患者的辐射剂量。尽管技术进步了,但x射线成像中的噪声仍然是一个挑战。在本研究中,使用噪声功率谱(NPS)和非参数方法来检测噪声。在不同的曝光时间和电压设置下拍摄空白图像。分析表明,随着曝光时间的延长,噪声降低。在检测的传感器中,两个显示出明显的NPS峰值,一个显示出暴露时间和噪声水平之间没有关系。这些结果讨论了特定的传感器结构,工件和/或不可访问的后处理算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of noise characteristics in intraoral X-Ray sensors using the Noise-Power spectrum and nonparametric metrics from diagnostic imaging.

Digital X-ray sensors have significantly changed dental radiography, enabling faster image acquisition and reducing radiation doses for patients. Despite the advancements in technology, noise in X-ray imaging remains a challenge. In this study, noise was examined using the Noise Power Spectrum (NPS) and a nonparametric method. Blank images were taken under different exposure times and voltage settings. The analyses show that noise decreases with longer exposure times. Among the examined sensors, two showed distinct NPS peaks, and one exhibited no relationship between exposure time and noise levels. These results are discussed on terms of specific sensor structures, artifacts and/or unaccessible post-processing algorithms.

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来源期刊
CiteScore
5.60
自引率
9.10%
发文量
65
审稿时长
4-8 weeks
期刊介绍: Dentomaxillofacial Radiology (DMFR) is the journal of the International Association of Dentomaxillofacial Radiology (IADMFR) and covers the closely related fields of oral radiology and head and neck imaging. Established in 1972, DMFR is a key resource keeping dentists, radiologists and clinicians and scientists with an interest in Head and Neck imaging abreast of important research and developments in oral and maxillofacial radiology. The DMFR editorial board features a panel of international experts including Editor-in-Chief Professor Ralf Schulze. Our editorial board provide their expertise and guidance in shaping the content and direction of the journal. Quick Facts: - 2015 Impact Factor - 1.919 - Receipt to first decision - average of 3 weeks - Acceptance to online publication - average of 3 weeks - Open access option - ISSN: 0250-832X - eISSN: 1476-542X
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