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Radiation Protection Dosimetry Advance Access originally published online on February 5, 2008
Radiation Protection Dosimetry 2008 129(1-3):253-257; doi:10.1093/rpd/ncn015
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© The Author 2008. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Optimage central organised image quality control including statistics and reporting

A. Jahnen1,*, C. Schilz2, F. Shannoun3, A. Schreiner3, J. Hermen1 and C. Moll1

1 CRP Henri Tudor, 29, Av. John F. Kennedy, 1855 Luxembourg, Luxembourg
2 Brüderkrankenhaus Trier, Nordallee 1, 54290 Trier, Germany
3 Direction de la Santé, Division de la Radioprotection, Villa Louvigny, Allée Marconi, 2120 Luxembourg, Luxembourg

* Corresponding author: Andreas.Jahnen{at}tudor.lu

Quality control of medical imaging systems is performed using dedicated phantoms. As the imaging systems are more and more digital, adequate image processing methods might help to save evaluation time and to receive objective results. The developed software package OPTIMAGE is focusing on this with a central approach: On one hand, OPTIMAGE provides a framework, which includes functions like database integration, DICOM data sources, multilingual user interface and image processing functionality. On the other hand, the test methods are implemented using modules which are able to process the images automatically for the common imaging systems. The integration of statistics and reporting into this environment is paramount: This is the only way to provide these functions in an interactive, user-friendly way. These features enable the users to discover degradation in performance quickly and document performed measurements easily.


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