Whole brain susceptibility mapping using harmonic incompatibility removal

Chenglong Bao, Jae Kyu Choi, Bin Dong

Research output: Contribution to journalArticlepeer-review


Quantitative susceptibility mapping (QSM) uses the phase data in magnetic resonance signals to visualize a three-dimensional susceptibility distribution by solving the magnetic field to susceptibility inverse problem. Due to the presence of zeros of the integration kernel in the frequency domain, QSM is an ill-posed inverse problem. Although numerous regularization-based models have been proposed to overcome this problem, incompatibility in the field data, which leads to deterioration of the recovery, has not received enough attention. In this paper, we show that the data acquisition process of QSM inherently generates a harmonic incompatibility in the measured local field. Based on this discovery, we propose a novel regularization-based susceptibility reconstruction model with an additional sparsity-based regularization term on the harmonic incompatibility. Numerical experiments show that the proposed method achieves better performance than existing approaches.

Original languageEnglish (US)
Pages (from-to)492-520
Number of pages29
JournalSIAM Journal on Imaging Sciences
Issue number1
StatePublished - 2019


  • Deconvolution
  • Harmonic incompatibility removal
  • Magnetic resonance imaging
  • Partial differential equation
  • Quantitative susceptibility mapping
  • Two system regularization

ASJC Scopus subject areas

  • Mathematics(all)
  • Applied Mathematics


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