Buchumschlag

Lesion probability mapping in MS patients using a regression network on MR fingerprinting

To develop a regression neural network for the reconstruction of lesion probability maps on Magnetic Resonance Fingerprinting using echo-planar imaging (MRF-EPI) in addition to T1, T2∗, NAWM, and GM- probability maps.

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Bibliographische Detailangaben
Hauptverfasser: Hermann, Ingo (VerfasserIn) , Golla, Alena-Kathrin (VerfasserIn) , Martínez-Heras, Eloy (VerfasserIn) , Schmidt, Ralf (VerfasserIn) , Solana, Elisabeth (VerfasserIn) , Llufriu, Sara (VerfasserIn) , Gass, Achim (VerfasserIn) , Schad, Lothar R. (VerfasserIn) , Zöllner, Frank G. (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 08 July 2021
In: BMC medical imaging
Year: 2021, Jahrgang: 21, Pages: 1-11
ISSN:1471-2342
DOI:10.1186/s12880-021-00636-x
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s12880-021-00636-x
Volltext
Verfasserangaben:Ingo Hermann, Alena K. Golla, Eloy Martínez-Heras, Ralf Schmidt, Elisabeth Solana, Sara Llufriu, Achim Gass, Lothar R. Schad and Frank G. Zöllner

MARC

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520 |a To develop a regression neural network for the reconstruction of lesion probability maps on Magnetic Resonance Fingerprinting using echo-planar imaging (MRF-EPI) in addition to T1, T2∗, NAWM, and GM- probability maps. 
650 4 |a Deep learning reconstruction 
650 4 |a Lesion prediction 
650 4 |a Magnetic resonance fingerprinting 
650 4 |a T1T1T_1 Mapping 
650 4 |a T2∗T2∗{T_2}^* Mapping 
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