Automated adaptive preconditioner for quantitative susceptibility mapping Academic Article uri icon


MeSH Major

  • Bone Neoplasms
  • Neoplasm Proteins
  • Osteosarcoma
  • Receptor, ErbB-2


  • © 2019 International Society for Magnetic Resonance in Medicine 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.

publication date

  • January 2019



  • Academic Article


Digital Object Identifier (DOI)

  • 10.1002/mrm.27900