Liver fat quantification at 0. <scp>55 T</scp> enabled by locally low‐rank enforced deep learning reconstruction

An LLR-DL reconstruction was developed and investigated to enable precise PDFF quantification at 0.55 T and improve consistency with 1.5 T results.

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Publication Details

Journal
Magnetic Resonance in Medicine
Published
2025-08-29
DOI
https://doi.org/10.1002/mrm.70057
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Liver fat quantification at 0. 55 T enabled by locally low‐rank enforced deep learning reconstruction

Stephan Kannengießer, Dominik M. Nickel, Thomas Küstner, Majd Helo
Magnetic Resonance in Medicine
Advanced MRI Techniques and Applications
article

Liver fat quantification at 0. 55 T enabled by locally low‐rank enforced deep learning reconstruction

Stephan Kannengießer, Dominik M. Nickel, Thomas Küstner, Majd Helo
article en

Abstract

An LLR-DL reconstruction was developed and investigated to enable precise PDFF quantification at 0.55 T and improve consistency with 1.5 T results.

Magnetic Resonance in MedicineVol. 95(1)
Siemens (Germany) (DE), Siemens Healthineers (Germany) (DE), University of Tübingen (DE)
Openalex Percentile: Top 68%
Advanced MRI Techniques and Applications
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