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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
Local in vivo shimming using adaptive passive shim positioning
Sejung Yang1, Hahnsung Kim, Min-Oh Ghim
1Department of Electronics Engineering, Ewha Womans University, Seoul, 120-750, Korea.
Magnetic Resonance Imaging
|January 11, 2011
Summary
Individualized passive shimming improves magnetic field homogeneity in the brain. This subject-specific method accounts for anatomical differences, enhancing magnetic resonance imaging (MRI) quality in vivo.
Area of Science:
- Medical Physics
- Neuroimaging
- Magnetic Resonance Imaging
Background:
- Achieving optimal magnetic field homogeneity is crucial for high-resolution in vivo Magnetic Resonance Imaging (MRI).
- Passive shimming, using physical shim pieces, is a common method to improve field homogeneity, but optimal configurations can vary significantly between individuals.
Purpose of the Study:
- To propose and validate a subject-specific local in vivo passive shimming method.
- To demonstrate the existence of intersubject variability in optimal passive shim positions.
- To show the efficacy of the proposed method in overcoming individual differences for improved field homogeneity.
Main Methods:
- Development of a novel shimming structure with millimeter-resolution adjustment capabilities for passive shims.
- Computation of optimal shim positions for each subject using a convex optimization algorithm applied to field map data.
- Comparison of MRI field homogeneity using predetermined fixed shim positions versus individually optimized shim positions.
Main Results:
- Significant intersubject variability in optimal passive shim positions was observed.
- The proposed location-sensitive, subject-specific shimming method demonstrated improved main field homogeneity in vivo.
- Individually adjusted shim positions led to superior field homogeneity compared to fixed, predetermined positions.
Conclusions:
- Subject-specific passive shimming is essential for optimizing in vivo MRI field homogeneity.
- The developed method effectively addresses intersubject variability in passive shim requirements.
- This approach holds promise for enhancing the quality and reliability of neuroimaging studies.

