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Fine-tuning deep learning model parameters for improved super-resolution of dynamic MRI with prior-knowledge

Chompunuch Sarasaen1, Soumick Chatterjee2, Mario Breitkopf3

  • 1Biomedical Magnetic Resonance, Otto von Guericke University Magdeburg, Germany; Institute for Medical Engineering, Otto von Guericke University Magdeburg, Germany; Research Campus STIMULATE, Otto von Guericke University Magdeburg, Germany.

Artificial Intelligence in Medicine
|November 12, 2021
PubMed
Summary

This study introduces super-resolution (SR) MRI reconstruction using prior knowledge to enhance spatial detail in dynamic MRI scans. This method improves image quality and reduces scan time for better physiological assessments.

Keywords:
Deep learningDynamic MRIFine-tuningPatch-based super-resolutionPrior knowledgeSuper-resolution

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