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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

Pixelwise Fat-Water Separation by Physics-guided Learning with Simulation Data

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Authors

SKSeonghyuk KimSPSung-Hong Park

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Overview

Pixelwise fat-water separation demonstrates improved image quality in MRI through physics-guided learning, suggesting effective use of simulation data without real training data.

Key Points

  • The method achieves fat-water separation using simulation data, enhancing image quality.
  • Training with physics-guided learning allows stable performance without real training data acquisition.
  • The neural network optimizes parameters to improve results on in vivo data.
  • This approach ensures fast training and low computational costs for fat-water separation.

Cite This Study

Kim et al. (2025) studied this question.

synapsesocial.com/papers/68d4597b31b076d99fa5ce97https://doi.org/10.58530/2025/3529
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