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September 17, 2025Proceedings 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

Robust Water-Fat Separation in Nasal MRI Using Hybrid Model and Data Driven Network

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Authors

DLDandan LiKSKaicong SunJZJiadong Zhang

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Overview

Observational analysis improves water-fat separation in nasal MRI, highlighting clinical benefits.

Key Points

  • The proposed framework achieves a PSNR of 50.57 and SSIM of 0.9983, indicating superior separation accuracy.
  • Robust water-fat separation enhances lesion detection and structure delineation in nasal MRI imaging.
  • A hybrid approach combines a data driven network with a 3D physical model for improved feature learning.
  • This method significantly extends the clinical applicability of multi-contrast nasopharyngeal MRI techniques.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/68d4597b31b076d99fa5cd46https://doi.org/10.58530/2025/3845
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Also Consider

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  1. 1Pixelwise Fat-Water Separation by Physics-guided Learning with Simulation Data2025
  2. 2Water–fat separation and parameter mapping in cardiac MRI via deep learning with a convolutional neural network2019 · 51 citations
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  4. 4Feasibility of Water-Fat Separation for 2D Cardiac CINE Imaging with a Phase-Sensitive Approach on a 0.6T magnet2025
  5. 5Water/fat Separated Distortion-Free Diffusion-Weighted Imaging in the Head and Neck2025