Registration and quantification network (RQnet) for IVIM‐DKI analysis in MRI

Purpose A deep learning method is proposed for aligning diffusion weighted images (DWIs) and estimating intravoxel incoherent motion–diffusion kurtosis imaging parameters simultaneously. Methods We propose an unsupervised deep learning method that performs 2 tasks: registration and quantification fo...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Magnetic resonance in medicine 2023-01, Vol.89 (1), p.250-261
Hauptverfasser:	Lee, Wonil, Choi, Giyong, Lee, Jongyeon, Park, HyunWook
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Deep learning Diffusion diffusion kurtosis imaging In vivo methods and tests intravoxel incoherent motion IVIM‐DKI Kurtosis Magnetic resonance imaging Parameters quantification Registration Simulation spatial transformer network Teaching methods
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!