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
Many medical imaging techniques utilize fitting approaches for quantitative parameter estimation and analysis. Common examples are pharmacokinetic modeling in dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI)/computed tomography (CT), apparent diffusion coefficient calculations and in...
Gespeichert in:
| Hauptverfasser: | , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
16 January 2019
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| In: |
BMC bioinformatics
Year: 2019, Jahrgang: 20 |
| ISSN: | 1471-2105 |
| DOI: | 10.1186/s12859-018-2588-1 |
| Online-Zugang: | Verlag, Volltext: http://dx.doi.org/10.1186/s12859-018-2588-1
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| Verfasserangaben: | Charlotte Debus, Ralf Floca, Michael Ingrisch, Ina Kompan, Klaus Maier-Hein, Amir Abdollahi and Marco Nolden |
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| 520 | |a Many medical imaging techniques utilize fitting approaches for quantitative parameter estimation and analysis. Common examples are pharmacokinetic modeling in dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI)/computed tomography (CT), apparent diffusion coefficient calculations and intravoxel incoherent motion modeling in diffusion-weighted MRI and Z-spectra analysis in chemical exchange saturation transfer MRI. Most available software tools are limited to a special purpose and do not allow for own developments and extensions. Furthermore, they are mostly designed as stand-alone solutions using external frameworks and thus cannot be easily incorporated natively in the analysis workflow. | ||
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