Quantitative Susceptibility Mapping
Quantitative susceptibility mapping (QSM) is an MRI technique used to reconstruct the distribution of magnetic susceptibility within tissues, providing valuable insights into brain structure and pathology. Current research focuses on improving QSM reconstruction accuracy and robustness using advanced deep learning models, such as U-Nets and diffusion models, often incorporating physics-based constraints to enhance generalization across diverse acquisition parameters. These advancements are leading to more accurate and artifact-reduced QSM images, improving the diagnostic capabilities of MRI for neurological disorders like multiple sclerosis and neurodegenerative diseases.
Papers
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