National Software Supported Quality Assurance Program in Digital Mammography: Experiences and Challenges

被引:0
|
作者
Moll, Christian [1 ]
Jahnen, Andreas [1 ]
Meyer, Alex [2 ]
Grelot, Martine [2 ]
Hermen, Johannes [1 ]
Back, Carlo [3 ]
Wagnon, Marie-Christine [4 ]
Roesch, Norbert [1 ]
机构
[1] CR SANTEC, Ctr Rech Publ Henri Tudor, 29 Ave John F Kennedy, L-1855 Luxembourg, Luxembourg
[2] Entente Hopitaux Luxembourgeois, Phys Med, L-8070 Bertrange, Luxembourg
[3] Direct Sante, Div Radioprotect, L-2120 Luxembourg, Luxembourg
[4] Direct Sante, Programme Mammog, L-2120 Luxembourg, Luxembourg
来源
DIGITAL MAMMOGRAPHY | 2010年 / 6136卷
关键词
Quality assurance; constancy control; automatic phantom reading;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Quality assurance in digital mammography, especially in screening environments, needs a lot thoughtfulness. As the images are digital, it provides the possibility of the use of computer assisted tests. This requires adequate computer readable phantoms and powerful software tools, which should support the medical technical assistant (MTA) in carrying out the required constancy tests. An added value of software assisted quality assurance is the ability to generate reports and statistical evaluations of the collected results. The national mammography screening program in Luxembourg has established a sophisticated quality assurance program including automatic reading, ready to use reporting and tailored formation at a national scope during the last years. This paper reports our experiences during the implementation of this common national wide quality control system and discuss the challenges involved.
引用
收藏
页码:569 / +
页数:2
相关论文
共 50 条
  • [41] A National Quality Assurance program for breast immunohistochemistry: an Italian perspective
    Guadagno, E.
    De Rosa, G.
    Nappi, O.
    PATHOLOGICA, 2018, 110 (02) : 83 - 91
  • [42] NATIONAL CROP LOSS ASSESSMENT NETWORK - QUALITY ASSURANCE PROGRAM
    COFFEY, DS
    SPRENGER, JC
    TINGEY, DT
    NEELY, GE
    MCCARTY, JC
    ENVIRONMENTAL POLLUTION, 1988, 53 (1-4) : 89 - 98
  • [43] Extraction of management information from the national quality assurance program
    Stausberg, Jurgen
    Bartels, Claus
    Bobrowski, Christoph
    MEDIZINISCHE KLINIK, 2007, 102 (07) : 507 - 514
  • [44] An Empirical Evaluation of Software Quality Assurance Practices and Challenges in a Developing Country
    Olaperi, Yeside Sowunmi
    Misra, Sanjay
    CIT/IUCC/DASC/PICOM 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY - UBIQUITOUS COMPUTING AND COMMUNICATIONS - DEPENDABLE, AUTONOMIC AND SECURE COMPUTING - PERVASIVE INTELLIGENCE AND COMPUTING, 2015, : 867 - 871
  • [45] Quality Assurance in Model-Based Software Development - Challenges and Opportunities -
    Chaudron, Michel R. V.
    SOFTWARE QUALITY: PROCESS AUTOMATION IN SOFTWARE DEVELOPMENT, 2012, 94 : 1 - 9
  • [46] Challenges of Software Requirements Quality Assurance and Validation: A Systematic Literature Review
    Atoum, Issa
    Baklizi, Mahmoud Khalid
    Alsmadi, Izzat
    Otoom, Ahmed Ali
    Alhersh, Taha
    Ababneh, Jafar
    Almalki, Jameel
    Alshahrani, Saeed Masoud
    IEEE ACCESS, 2021, 9 : 137613 - 137634
  • [47] Pilot Testing of Software for Automated Remote Quality Control of Digital Mammography Equipment for Use in the Ontario Breast Screening Program
    Bloomquist, A.
    Jacobs, J.
    Yaffe, M.
    MEDICAL PHYSICS, 2011, 38 (06)
  • [48] Experiences on external quality assurance program (EQAP) of faecal occult blood
    Loikkanen, M
    Hongisto, T
    CLINICA CHIMICA ACTA, 2005, 355 : S391 - S391
  • [49] Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks
    Patryk Hejduk
    Raphael Sexauer
    Carlotta Ruppert
    Karol Borkowski
    Jan Unkelbach
    Noemi Schmidt
    Insights into Imaging, 14
  • [50] Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks
    Hejduk, Patryk
    Sexauer, Raphael
    Ruppert, Carlotta
    Borkowski, Karol
    Unkelbach, Jan
    Schmidt, Noemi
    INSIGHTS INTO IMAGING, 2023, 14 (01)