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Many medical imaging techniques utilize fitting approaches for quantitativeparameter estimation and analysis. Common examples are pharmacokinetic modelingin DCE MRI/CT, ADC calculations and IVIM modeling in diffusion-weighted MRI andZ-spectra analysis in chemical exchange saturation transfer MRI. Most availablesoftware tools are limited to a special purpose and do not allow for owndevelopments and extensions. Furthermore, they are mostly designed asstand-alone solutions using external frameworks and thus cannot be easilyincorporated natively in the analysis workflow. We present a framework formedical image fitting tasks that is included in MITK, following a rigorousopen-source, well-integrated and operating system independent policy. Softwareengineering-wise, the local models, the fitting infrastructure and the resultsrepresentation are abstracted and thus can be easily adapted to any modelfitting task on image data, independent of image modality or model. Severalready-to-use libraries for model fitting and use-cases, including fitevaluation and visualization, were implemented. Their embedding into MITKallows for easy data loading, pre- and post-processing and thus a naturalinclusion of model fitting into an overarching workflow. As an example, wepresent a comprehensive set of plug-ins for the analysis of DCE MRI data, whichwe validated on existing and novel digital phantoms, yielding competitivedeviations between fit and ground truth. Providing a very flexible environment,our software mainly addresses developers of medical imaging software thatincludes model fitting algorithms and tools. Additionally, the framework is ofhigh interest to users in the domain of perfusion MRI, as it offersfeature-rich, freely available, validated tools to perform pharmacokineticanalysis on DCE MRI data, with both interactive and automatized batchprocessing workflows.

bmc bioinformatics

MITK-ModelFit: A generic open-source framework for model fits and their  exploration in medical imaging -- design, implementation and application on  the example of DCE-MRI