%0 Journal Article
%@ 1471-2342
%A Zöllner, Frank G.
%A Daab, Markus
%A Sourbron, Steven P.
%A Schad, Lothar R.
%A Schönberg, Stefan O.
%A Weisser, Gerald
%C London
%D 2016
%F heidok:20132
%I BioMed Central
%J BMC Medical Imaging
%N 7
%P 1-13
%T An open source software for analysis of dynamic contrast enhanced magnetic resonance images: UMMPerfusion revisited
%U https://archiv.ub.uni-heidelberg.de/volltextserver/20132/
%V 16
%X Background: Perfusion imaging has become an important image based tool to derive the physiological information in various applications, like tumor diagnostics and therapy, stroke, (cardio-) vascular diseases, or functional assessment of organs. However, even after 20 years of intense research in this field, perfusion imaging still remains a research tool without a broad clinical usage. One problem is the lack of standardization in technical aspects which have to be considered for successful quantitative evaluation; the second problem is a lack of tools that allow a direct integration into the diagnostic workflow in radiology.   Results: Five compartment models, namely, a one compartment model (1CP), a two compartment exchange (2CXM), a two compartment uptake model (2CUM), a two compartment filtration model (2FM) and eventually the extended Toft’s model (ETM) were implemented as plugin for the DICOM workstation OsiriX. Moreover, the plugin has a clean graphical user interface and provides means for quality management during the perfusion data analysis. Based on reference test data, the implementation was validated against a reference implementation. No differences were found in the calculated parameters.   Conclusion: We developed open source software to analyse DCE-MRI perfusion data. The software is designed as plugin for the DICOM Workstation OsiriX. It features a clean GUI and provides a simple workflow for data analysis while it could also be seen as a toolbox providing an implementation of several recent compartment models to be applied in research tasks. Integration into the infrastructure of a radiology department is given via OsiriX. Results can be saved automatically and reports generated automatically during data analysis ensure certain quality control.