An open source software for analysis of dynamic contrast enhanced magnetic resonance images

• Verfasst von: Zöllner, Frank G. [VerfasserIn]
• Verfasst von: Schad, Lothar R. [VerfasserIn]
• Verfasst von: Schönberg, Stefan [VerfasserIn]
• Verfasst von: Weisser, Gerald [VerfasserIn]
• Titel: An open source software for analysis of dynamic contrast enhanced magnetic resonance images
• Titelzusatz: UMMPerfusion revisited
• Verf.angabe: Frank G. Zöllner, Markus Daab, Steven P. Sourbron, Lothar R. Schad, Stefan O. Schoenberg and Gerald Weisser
• E-Jahr: 2016
• Jahr: 14 January 2016
• Umfang: 13 S.
• Fussnoten: Gesehen am 23.01.2019
• Titel Quelle: Enthalten in: BMC medical imaging
• Ort Quelle: London : BioMed Central, 2001
• Jahr Quelle: 2016
• Band/Heft Quelle: 16(2016), Artikel-ID 7, Seite 1-13
• ISSN Quelle: 1471-2342
• DOI: doi:10.1186/s12880-016-0109-0
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1586515314

Abstract

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.