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Quantitative susceptibility mapping parameter optimization for basal nuclei iron depiction: A systematic analysis of
Ya Wang1, Rujiao Yin2, Yi Lu3
1Department of Medical Imaging, First Affiliated Hospital of Kunming Medical University, Kunming, 650500, PR China; Department of Radiology, The Second Affiliated Hospital of Kunming Medical University, No. 374, Kunming, 650101, PR China.
Neuroimage
|July 17, 2026
Summary
Optimizing echo number and threshold improves quantitative susceptibility mapping (QSM) for iron in the brain. Age-specific parameters enhance accuracy for both young and older adults in QSM iron quantification.
Area of Science:
- Neuroimaging
- Biophysics
Background:
- Quantitative susceptibility mapping (QSM) is crucial for assessing iron deposition in deep brain nuclei.
- Acquisition and post-processing parameters significantly impact QSM accuracy and image quality.
Purpose of the Study:
- To systematically evaluate the effects of echo number and threshold on QSM in basal nuclei across different age groups.
- To determine optimal parameters for accurate iron quantification and image quality.
Main Methods:
- Sixty healthy volunteers (30 young, 30 older) underwent QSM MRI.
- Images were reconstructed using varying echo numbers (1-16) and thresholds (0.01-0.20).
- Subjective radiologist evaluation and quantitative measurements of susceptibility and signal intensity were performed.
Main Results:
- Optimal image quality was achieved with echo numbers 5-12 and thresholds 0.02-0.06.
- Susceptibility values showed a significant negative correlation with both echo number and threshold.
- Age-specific optimal parameter ranges were identified for consistent iron quantification.
Conclusions:
- Echo number and threshold critically influence QSM results.
- Recommended parameters for younger adults: echo number 5, thresholds 0.04-0.08.
- Recommended parameters for older adults: echo number 6, thresholds 0.04-0.07 for enhanced basal nuclei imaging.
