Gray values and noise behavior of cone-beam computed tomography machines-an in vitro study.

IF 2.9 2区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE Dento maxillo facial radiology Pub Date : 2024-11-19 DOI:10.1093/dmfr/twae053
Nicolly Oliveira-Santos, Hugo Gaêta-Araujo, Rubens Spin-Neto, Dorothea Dagassan-Berndt, Michael M Bornstein, Matheus L Oliveira, Francisco Haiter-Neto, Deborah Queiroz Freitas, Ralf Schulze
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Abstract

Objectives: To systematically evaluate the mean gray values (MGV) and noise provided by bone and soft tissue equivalent materials and air imaged with varied acquisition parameters in nine cone-beam computed tomography (CBCT) machines.

Methods: The DIN6868-161 phantom, composed of bone and soft tissue equivalent material and air gap, was scanned in nine CBCT machines. Tube current (mA) and tube voltage (kV), field of view (FOV) size, and rotation angle were varied over the possible range. The effect of the acquisition parameters on the MGV and contrast-to-noise indicator (CNI) was analyzed by Kruskal Wallis and Dunn-Bonferroni tests for each machine independently (α = 0.05).

Results: Tube current did not influence MGV in most machines. Viso G7 and Veraview X800 presented a decrease in the MGV for increasing kV. For ProMax 3D MAX and X1, the kV did not affect the MGV. For the majority of machines, MGV decreased with increasing FOV height. In general, the rotation angle did not affect the MGV. In addition, CNI was lower with lower radiation and large FOV and did not change from 80 kV in all machines.

Conclusions: The MGV and noise provided by the tested phantom vary largely among machines. The MGV is mainly influenced by the FOV size, especially for bone equivalent radiodensity. For most machines, when the acquisition parameters affect the MGV, the MGV decrease with the increase in the acquisition parameters.

Advances in knowledge: Knowing the expected GV behavior in different exposure conditions hold potential for future calibration of MGV among CBCT machines.

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锥形束计算机断层扫描机的灰度值和噪声行为--体外研究。
目的系统评估在九台锥形束计算机断层扫描(CBCT)机上使用不同采集参数成像的骨和软组织等效材料及空气所提供的平均灰度值(MGV)和噪声:由骨和软组织等效材料以及空气间隙组成的 DIN6868-161 模体在九台 CBCT 设备上进行扫描。管电流(毫安)和管电压(千伏)、视场(FOV)大小和旋转角度在可能的范围内变化。通过 Kruskal Wallis 和 Dunn-Bonferroni 检验分析了采集参数对每台机器的 MGV 和对比度-噪声指标(CNI)的影响(α = 0.05):在大多数机器中,电子管电流对 MGV 没有影响。Viso G7 和 Veraview X800 的 MGV 随 kV 的增加而降低。ProMax 3D MAX 和 X1 的 kV 对 MGV 没有影响。对于大多数机器而言,MGV 随着 FOV 高度的增加而降低。一般来说,旋转角度不会影响 MGV。此外,CNI 在辐射较低和 FOV 较大时较低,在所有机器中,CNI 与 80 kV 相比没有变化:结论:测试模型提供的 MGV 和噪声在不同机器之间存在很大差异。MGV 主要受 FOV 大小的影响,尤其是骨等效放射密度。对于大多数机器而言,当采集参数影响 MGV 时,MGV 会随着采集参数的增加而降低:了解不同曝光条件下的预期 GV 行为,为将来校准 CBCT 设备的 MGV 提供了可能。
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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
期刊最新文献
Carotid calcifications in panoramic radiographs can predict vascular risk. Preparing for downstream tasks in AI for dental radiology: a baseline performance comparison of deep learning models. Temporomandibular joint assessment in MRI images using artificial intelligence tools: Where are we now? A systematic review. Gray values and noise behavior of cone-beam computed tomography machines-an in vitro study. A novel method for measuring the direction and angle of Central ray and predicting rotation center via panorama phantom.
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