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We developed a generic Open Source magnetic resonance imaging (MRI) perfusion analysis tool for quantitative parameter mapping to be used in a clinical workflow and methods for quality management of perfusion data. We implemented several approaches including compartment models and pixel-by-pixel deconvolution approaches to quantify T1-weighted contrast-enhanced dynamic MR imaging (DCE-MRI) perfusion data as an OsiriX/Horos plug-in. Algorithms used in this plugin are based on the work of S.Sourbron written in IDL: Platform for Research in Medical Imgaging https://github.com/plaresmedima/PMI-0.4
If you use this code and the plugin please cite:
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F. Zöllner, G. Weisser, M. Reich, S. Kaiser, S. Schoenberg, S. Sourbron and L. Schad. UMMPerfusion: An Open Source software tool for quantitative MRI perfusion analysis in clinical routine. J Digital Imaging, 2013, 26 (2), pp.344-352 . http://dx.doi.org/10.1007/s10278-012-9510-6
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F. Zöllner, M. Daab, S. Sourbron, L. Schad, S. Schoenberg and G. Weisser. An open source software for analysis of dynamic contrast enhanced magnetic resonance images: UMMPerfusion revisited. BMC Med Imaging, 2016, 16 (7), pp.1-13. http://dx.doi.org/10.1186/s12880-016-0109-0
For more generell resources on perfusion imaging please refer to the Open Science Initiative for Perfusion Imaging (OSIPI).