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...

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Bibliographic Details
Main Authors: Debus, Charlotte (Author) , Floca, Ralf (Author) , Maier-Hein, Klaus H. (Author) , Abdollahi, Amir (Author) , Nolden, Marco (Author)
Format: Article (Journal)
Language:English
Published: 16 January 2019
In: BMC bioinformatics
Year: 2019, Volume: 20
ISSN:1471-2105
DOI:10.1186/s12859-018-2588-1
Online Access:Verlag, Volltext: http://dx.doi.org/10.1186/s12859-018-2588-1
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Author Notes:Charlotte Debus, Ralf Floca, Michael Ingrisch, Ina Kompan, Klaus Maier-Hein, Amir Abdollahi and Marco Nolden
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Summary: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.
Item Description:Gesehen am 13.3.2019
Physical Description:Online Resource
ISSN:1471-2105
DOI:10.1186/s12859-018-2588-1