• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种新的变量模式用于医疗图像显示设备日常质量保证的初步验证。

Preliminary validation of a new variable pattern for daily quality assurance of medical image display devices.

机构信息

University Hospitals of Leuven, Herestraat 49, Leuven, Brabant 3000, Belgium.

出版信息

Med Phys. 2007 Jul;34(7):2744-58. doi: 10.1118/1.2742502.

DOI:10.1118/1.2742502
PMID:17821982
Abstract

This paper reports on a comparative study between the well-established test patterns for daily quality assurance (QA) of monitors of the American Association of Medical Physicists, Task Group 18 (AAPMtg18) and the Deutsches Institut für Normung e.V (DIN), and a newly proposed variable test pattern. A characteristic of the test patterns currently used for the QA of monitors is their static nature: The same test pattern is always used. This enables a learning effect that may bias the results over time. To address this problem we have developed a variable pattern for the quality assurance of monitors (MoniQA) that allows an evaluation of contrast visibility, geometric distortion, resolution, global image quality including uniformity, and artifacts. The test pattern includes randomly generated elements intended to prevent the observer from learning the test. Examples are random characters that have to be discriminated from the background to evaluate the threshold luminance difference and variable positions of different features in the test pattern. The newly proposed test patterns were generated and visualized on different viewing stations with a software tool developed in JAVA. In this study, we validated these patterns against the well-known AAPMtg18 and DIN test patterns on 22 monitors. The results showed that the MoniQA test can indicate the same monitor problems as the other well-known patterns and is significantly quicker to evaluate than the AAPMtg18 test patterns. The MoniQA pattern is a promising alternative for daily quality control of medical viewing stations.

摘要

本文报告了一项比较研究,比较了美国医学物理学家协会工作组 18(AAPMtg18)和德国标准化协会(DIN)用于监视器日常质量保证(QA)的成熟测试模式,以及新提出的可变测试模式。目前用于监视器 QA 的测试模式的一个特点是其静态性质:始终使用相同的测试模式。这使得随着时间的推移,学习效应可能会使结果产生偏差。为了解决这个问题,我们开发了一种用于监视器质量保证的可变模式(MoniQA),它可以评估对比度可见度、几何失真、分辨率、包括均匀性和伪影在内的全局图像质量。测试模式包括随机生成的元素,旨在防止观察者学习测试。例如,必须从背景中区分随机字符以评估阈值亮度差和测试模式中不同特征的可变位置,以此来评估随机字符。新提出的测试模式是使用在 JAVA 中开发的软件工具生成并在不同的查看站上可视化的。在这项研究中,我们在 22 个监视器上验证了这些模式与著名的 AAPMtg18 和 DIN 测试模式的有效性。结果表明,MoniQA 测试可以指示与其他知名模式相同的监视器问题,并且比 AAPMtg18 测试模式评估速度更快。MoniQA 模式是医疗查看站日常质量控制的一种很有前途的替代方案。

相似文献

1
Preliminary validation of a new variable pattern for daily quality assurance of medical image display devices.一种新的变量模式用于医疗图像显示设备日常质量保证的初步验证。
Med Phys. 2007 Jul;34(7):2744-58. doi: 10.1118/1.2742502.
2
Assessment of display performance for medical imaging systems: executive summary of AAPM TG18 report.医学成像系统显示性能评估:AAPM TG18报告执行摘要
Med Phys. 2005 Apr;32(4):1205-25. doi: 10.1118/1.1861159.
3
SoftCopy Display Quality Assurance Program at Texas Children's Hospital.德克萨斯儿童医院的软拷贝显示质量保证计划。
J Digit Imaging. 2002;15 Suppl 1:33-40. doi: 10.1007/s10278-002-5027-8. Epub 2002 Mar 21.
4
An open source automatic quality assurance (OSAQA) tool for the ACR MRI phantom.一种用于美国放射学会(ACR)磁共振成像(MRI)体模的开源自动质量保证(OSAQA)工具。
Australas Phys Eng Sci Med. 2015 Mar;38(1):39-46. doi: 10.1007/s13246-014-0311-8. Epub 2014 Nov 21.
5
Comparison of methods for acceptance and constancy testing in dental cone-beam computed tomography.牙科锥形束计算机断层扫描中验收和稳定性测试方法的比较
Rofo. 2015 Apr;187(4):283-90. doi: 10.1055/s-0034-1385333. Epub 2014 Nov 12.
6
A quality assurance framework for the fully automated and objective evaluation of image quality in cone-beam computed tomography.用于锥形束计算机断层扫描图像质量全自动客观评估的质量保证框架。
Med Phys. 2014 Mar;41(3):031901. doi: 10.1118/1.4863507.
7
Quality assurance (QA) procedures for software: evaluation of an ADC quality system.
Radiat Prot Dosimetry. 2005;117(1-3):291-7. doi: 10.1093/rpd/nci742. Epub 2006 Feb 7.
8
Grayscale calibration and quality assurance of diagnostic monitors in a PACS system.PACS系统中诊断监视器的灰度校准与质量保证
Radiol Med. 2006 Sep;111(6):863-75. doi: 10.1007/s11547-006-0081-9. Epub 2006 Aug 11.
9
Artifacts in digital mammography.数字化乳腺摄影中的伪影。
JBR-BTR. 2008 Nov-Dec;91(6):262-3.
10
Development and validation of a novel large field of view phantom and a software module for the quality assurance of geometric distortion in magnetic resonance imaging.一种用于磁共振成像几何畸变质量保证的新型大视野体模及软件模块的开发与验证
Magn Reson Imaging. 2015 Sep;33(7):939-49. doi: 10.1016/j.mri.2015.04.003. Epub 2015 Apr 14.

引用本文的文献

1
Does digital mammography in a decentralized breast cancer screening program lead to screening performance parameters comparable with film-screen mammography?在去中心化乳腺癌筛查项目中,数字乳腺 X 光摄影是否会导致与胶片乳腺 X 光摄影可比的筛查性能参数?
Eur Radiol. 2010 Oct;20(10):2307-14. doi: 10.1007/s00330-010-1807-6. Epub 2010 May 9.