Literature DB >> 31402519

Automated adaptive preconditioner for quantitative susceptibility mapping.

Zhe Liu1,2, Yan Wen1,2, Pascal Spincemaille2, Shun Zhang2,3, Yihao Yao2,3, Thanh D Nguyen2, Yi Wang1,2.   

Abstract

PURPOSE: To develop an automated adaptive preconditioner for QSM reconstruction with improved susceptibility quantification accuracy and increased image quality. THEORY AND METHODS: The total field was used to rapidly produce an approximate susceptibility map, which was then averaged and trended over R 2 ∗ binning to generate a spatially varying distribution of preconditioning values. This automated adaptive preconditioner was used to reconstruct QSM via total field inversion and was compared with its empirical counterparts in a numerical simulation, a brain experiment with 5 healthy subjects and 5 patients with intracerebral hemorrhage, and a cardiac experiment with 3 healthy subjects.
RESULTS: Among evaluated preconditioners, the automated adaptive preconditioner achieved the fastest convergence in reducing the RMSE of the QSM in the simulation, suppressed hemorrhage-associated artifacts while preserving surrounding brain tissue contrasts, and provided cardiac chamber oxygenation values consistent with those reported in the literature.
CONCLUSION: An automated adaptive preconditioner allows high-quality QSM from the total field in imaging various anatomies with dynamic susceptibility ranges.
© 2019 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  QSM; cardiac; hemorrhage; preconditioning; total field inversion

Mesh:

Substances:

Year:  2019        PMID: 31402519      PMCID: PMC6778703          DOI: 10.1002/mrm.27900

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


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