For all data, parametric maps could be calculated and the plug-in worked correctly and stable. The plug-in was evaluated on ten MR perfusion data sets of the prostate and a calibration data set by comparing obtained parametric maps (plasma flow, volume of distribution, and mean transit time) to a widely used reference implementation in IDL. Obtained results are saved as DICOM objects and directly added to the patient study. Furthermore, by our implementation design, it could be easily extendable to other perfusion algorithms. It features parallel computing capabilities and an automated reporting scheme for quality management. We implemented a classic, pixel-by-pixel deconvolution approach to quantify T1-weighted contrast-enhanced dynamic MR imaging (DCE-MRI) perfusion data as an OsiriX plug-in. To develop a generic Open Source MRI perfusion analysis tool for quantitative parameter mapping to be used in a clinical workflow and methods for quality management of perfusion data.
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