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August 14, 2024Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition

In Vivo Evaluation of a Novel Deep Learning-based MR Image Reconstruction for Liver Fat Quantification

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Authors

NPNikolaos PanagiotopoulosUniversity of Wisconsin–MadisonNRNathan RobertsUniversity of Nebraska–LincolnDHDavid HarrisUniversity of Wisconsin–Madison

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Cite This Study

Panagiotopoulos et al. (2024) studied this question.

synapsesocial.com/papers/68e5c61db6db64358755c8b9https://doi.org/10.58530/2023/1854
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Liver Proton Density Fat Fraction (PDFF) at 0.55T Using Locally Low-Rank Deep Learning (LLR-DL) Reconstruction2025
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  3. 3Deep Learning‐Accelerated MRI Assessment of Hepatic Proton Density Fat Fraction: Agreement With Conventional Acquisition Across Manual and Automated Measurement Approaches2026 · 1 citations
  4. 4Non-iterative and uncertainty-aware MRI-based liver fat estimation using an unsupervised deep learning method2025 · 2 citations
  5. 5Assessment of Deep Learning-Accelerated Hepatic Proton Density Fat Fraction: Linearity and Bias Analysis Against Standard acquisition2025