MITK-modelFit

• Verfasst von: Debus, Charlotte [VerfasserIn]
• Verfasst von: Floca, Ralf [VerfasserIn]
• Verfasst von: Maier-Hein, Klaus H. [VerfasserIn]
• Verfasst von: Abdollahi, Amir [VerfasserIn]
• Verfasst von: Nolden, Marco [VerfasserIn]
• Titel: MITK-modelFit
• Titelzusatz: a generic open-source framework for model fits and their exploration in medical imaging - design, implementation and application on the example of DCE-MRI
• Verf.angabe: Charlotte Debus, Ralf Floca, Michael Ingrisch, Ina Kompan, Klaus Maier-Hein, Amir Abdollahi and Marco Nolden
• E-Jahr: 2019
• Jahr: 16 January 2019
• Umfang: 18 S.
• Fussnoten: Gesehen am 13.3.2019
• Titel Quelle: Enthalten in: BMC bioinformatics
• Ort Quelle: London : BioMed Central, 2000
• Jahr Quelle: 2019
• Band/Heft Quelle: 20(2019) Artikel-Nummer 31, 18 Seiten
• ISSN Quelle: 1471-2105
• DOI: doi:10.1186/s12859-018-2588-1
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1590186745

Abstract

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.