Author

Dominik Nickel

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Aug 2026

Deep Learning-Accelerated MRI Assessment of Hepatic Proton Density Fat Fraction: Agreement With Conventional Acquisition Across Manual and Automated Measurement Approaches.

BACKGROUND Deep learning reconstruction can shorten breath-hold MRI for liver proton density fat fraction (DL-PDFF), but agreement with conventional PDFF (Conv-PDFF) and the impact of measurement approach (regional vs. whole-liver segmentation) remain unclear. PURPOSE To evaluate linearity and agreement of DL-PDFF wi...

Seo Yeon Youn, Bohyun Kim, Hyun-Soo Lee et al. · Journal of Magnetic Resonanc... · 1 citation

#graph neural networks Open access Oct 2026

Simultaneous T1 and T2 Mapping in the Brain With QuantoRAGE: An MP2RAGE Variant Using T2-Prepared Inversion.

PURPOSE To develop and validate a repeatable and reproducible approach, QuantoRAGE, for simultaneous whole-brain T1 and T2 mapping using adiabatic magnetization preparation. METHODS QuantoRAGE is a 3D FLASH-based sequence using an adiabatic T2-prepared inversion followed by two readout blocks. Sequence repetitions wi...

Natalia Pato Montemayor, Tâm Johan Nguyên, J. Marques et al. · Magnetic Resonance in Medici... · 0 citations

Sep 2026

Improved upper abdominal MRI with VIBE sequences using deep learning-supported k-space sampling in a cohort undergoing MRI for gynecologic diseases.

BackgroundVolumetric interpolated breath-hold examination (VIBE) is widely used in upper abdominal MRI but can be limited by low signal-to-noise ratio (SNR), especially when rapid acquisition is prioritized. Deep learning (DL)-enhanced reconstruction may improve image quality without extending acquisition time.PurposeT...

Klaudia Malec, Jakob Heimer, Antonio Marketin et al. · Acta Radiologica · 0 citations