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Deterministic arterial input function selection in DCE-MRI for automation of quantitative perfusion calculation of colorectal cancer

Development of a deterministic algorithm for automated detection of the Arterial Input Function (AIF) in DCE-MRI of colorectal cancer. Using a filter pipeline to determine the AIF region of interest. Comparison to algorithms from literature with mean squared error and quantitative perfusion paramete...

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Hauptverfasser: Tönnes, Christian (VerfasserIn) , Janssen, Sonja (VerfasserIn) , Golla, Alena-Kathrin (VerfasserIn) , Uhrig, Tanja (VerfasserIn) , Chung, Khanlian (VerfasserIn) , Schad, Lothar R. (VerfasserIn) , Zöllner, Frank G. (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 2021
In: Magnetic resonance imaging
Year: 2021, Jahrgang: 75, Pages: 116-123
ISSN:1873-5894
DOI:10.1016/j.mri.2020.09.009
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.mri.2020.09.009
Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S0730725X20302423
Volltext
Verfasserangaben:Christian Tönnes, Sonja Janssen, Alena-Kathrin Golla, Tanja Uhrig, Khanlian Chung, Lothar R. Schad, Frank Gerrit Zöllner

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