Subscribe to RSS
Establishing an International Reference Image Database for Research and Development in Medical Image Processing
05 February 2018 (online)
Introduction: The lack of comparability of evaluation results is one of the major obstacles of research and development in Medical Image Processing (MIP). The main reason for that is the usage of different image datasets with different quality, size and Gold standard.
Objectives: Therefore, one of the goals of the Working Group on Medical Image Processing of the European Federation for Medical Informatics (EFMI WG MIP) is to develop first parts of a Reference Image Database.
Methods: Kernel of the concept is to identify highly relevant medical problems with significant potential for improvement by MIP, and then to provide respective reference datasets. The EFMI WG MIP has primarily the role of a specifying group and an information broker, while the provider user relationships are defined by bilateral co-operation or license agreements.
Results: An explorative database prototype has been implemented using the MySQL database software on the Web. Templates for provider user agreements have been worked out and already applied for own ‘pre-RID-MIP’ co-operations of the authors.
Discussion and Conclusion: First steps towards a comprehensive reference image database have been done. Issues like funding, motivation, management, provision of Gold standards and evaluation guidelines are to be solved. Due to the interest from research groups and industry the efforts will be continued.
- 1 Munson jr DC. A Note on Lena. IEEE Transactions on Image Processing 1996; 5: 01 editorial
- 2 Höhne KH, Pflesser B, Pommert A. et al. VOXEL-MAN 3D Navigator: Inner Organs. Regional, Systemic and Radiological Anatomy. Springer-Verlag Electronic Media, Heidelberg: 2003
- 3 Visible Human Project. http://nlm.nih.gov/research/visible/visible_human.html
- 4 International Consortium for Brain Mapping (ICBM). www.loni.ucla.edu/ICBM
- 5 Cancer Imaging Program of the National Cancer Institute, USA. www.nci.nih.gov/bip
- 6 Clarke LP, Croft BY, Staab E, Baker H, Sullivan DC. National Cancer Institute initiative: Lung image database resource for imaging research. Acad Radiol 2001; 8 (05) 447-50.
- 7 Horsch A. Jetzt im Web – der Health Informatics Software Catalogue der EFMI. mdi Forum der Medizin-Dokumentation und Medizin- Informatik 2002; 4 (02) 64-5.
- 8 Penzel T, McNames J, deChazal P, Raymond B, Murray A, Moody G. Systematischer Vergleich von Algorithmen der EKG-Analyse zur Erkennung schlafbezogener Atmungsstörungen. Informatik, Biometrie und Epidemiologie in Medizin und Biologie 2002; 33 2-3 126-7.
- 9 Prinz M, Horsch A, Schneider S, Sipilä O, Spinnler K, Vallee JP, Verdonck-de Leeuw I, Vogl R, Wittenberg Th, Zahlmann G. A Reference Image Database for Medical Image Processing. Proceedings of the 2nd conference of the Österreichische Wissenschaftliche Gesellschaft für Telemedizin, a-telmed 2002, OCGSchriftenreihe, Vienna. 2002: 45-51.
- 10 MySQL open source database system. www.mysql.com
- 11 WHO. The World Health Report 2002, Annex, Table 2 Deaths by cause, sex and mortality stratum in WHO Regions, estimated for 2001.
- 12 Horsch A, Thurmayr R. How to Identify and Assess Tasks and Challenges of Medical Image Processing. In: The New Navigators: from Professionals to Patients. Baud R. et al. (eds). IOS Press: 2003: 281-5.
- 13 Horsch A, Wittenberg T, Spinnler K. Concept and Roadmap for Establishing an International Reference Image Database for Medical Image Processing R&D Groups. The Sixth Korea-Germany Joint Workshop on Advanced Medical Image Processing, May 1-7. 2002. Heidelberg, Germany: 188-93.