An open source software for analysis of dynamic contrast enhanced magnetic resonance images: UMMPerfusion revisited
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 thi...
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| Hauptverfasser: | , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
14 January 2016
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| In: |
BMC medical imaging
Year: 2016, Jahrgang: 16, Pages: 1-13 |
| ISSN: | 1471-2342 |
| DOI: | 10.1186/s12880-016-0109-0 |
| Online-Zugang: | Verlag, Volltext: http://dx.doi.org/10.1186/s12880-016-0109-0 Verlag, Volltext: https://doi.org/10.1186/s12880-016-0109-0 
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| Verfasserangaben: | Frank G. Zöllner, Markus Daab, Steven P. Sourbron, Lothar R. Schad, Stefan O. Schoenberg and Gerald Weisser |
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| 520 | |a 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. | ||
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