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Author

M. Nickel

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3 papers indexed here

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Open access Sep 2026

Variable flip angle T1 mapping for quantitative liver imaging at 0.55 T.

PURPOSE Investigating the feasibility of variable flip angle (VFA) T1 mapping for quantitative liver imaging at 0.55 T and evaluating the impact of RF spoiling correction and deep learning-based (DL) reconstruction on accuracy. METHODS A VFA protocol was developed and combined with DL reconstruction to improve quanti...

Majd Helo, M. Nickel, Thomas Kuestner · 0 citations
Sep 2026

Performance of a deep learning algorithm on deep learning reconstruction-accelerated prostate biparametric MRI: A preliminary study.

PURPOSE To evaluate the robustness of a deep learning algorithm (DLA) for prostate lesion detection and classification trained on conventional biparametric MRI (bpMRI) to changes in imaging inputs introduced by deep learning reconstruction (DLR)-accelerated MRI. MATERIALS AND METHODS This retrospective study included...

Young Joon Lee, M. Choi, Robert Grimm et al. · 0 citations
Open access Jul 2026

Accelerated 7T 3D DESS MR Neurography of the Cervical Spine Using CS-CAIPIRINHA and Deep Learning Reconstruction.

The novel integration of coherent and incoherent undersampling via combined CAIPIRINHA and CS with DL reconstruction provides a robust framework for preserving image quality at acceleration factors beyond 8, enabling efficient high-resolution cervical spine MRI with scan time reductions exceeding 6-fold.

Frederik Abel, C. von Deuster, A. Walch et al. · 0 citations

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