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Background field removal technique based on non-regularized variable kernels sophisticated harmonic artifact

Hirohito Kan1, Nobuyuki Arai1, Masahiro Takizawa2

  • 1Department of Radiology, Nagoya City University Hospital, 1-Kawasumi, Mizuho-cho Mizuho-ku, Nagoya City, Aichi, 4678602, Japan.

Magnetic Resonance Imaging
|June 15, 2018
PubMed
Summary

We developed a new non-regularized, variable kernel, sophisticated harmonic artifact reduction for phase data (NR-VSHARP) method for accurate quantitative susceptibility mapping (QSM). NR-VSHARP significantly reduces errors and artifacts, improving QSM quality.

Keywords:
Background field removalNon-regularized variable kernels sophisticated harmonic artifact reduction for phase dataQuantitative susceptibility mappingSophisticated harmonic artifact reduction for phase dataVariable kernels sophisticated harmonic artifact reduction for phase data

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Area of Science:

  • Medical Imaging
  • Neuroimaging
  • Biophysics

Background:

  • Quantitative Susceptibility Mapping (QSM) is crucial for neuroimaging.
  • Existing methods like VSHARP and iSMV face challenges with regularization and artifact reduction.
  • Accurate estimation of local tissue fields is essential for reliable QSM.

Purpose of the Study:

  • To introduce and evaluate a novel non-regularized, variable kernel, sophisticated harmonic artifact reduction for phase data (NR-VSHARP) method.
  • To assess the accuracy of NR-VSHARP in estimating local tissue fields for QSM.
  • To compare NR-VSHARP with existing methods (VSHARP, iSMV) using numerical phantoms and in vivo human brain data.

Main Methods:

  • Developed the NR-VSHARP method utilizing variable spherical mean value (SMV) kernels.
  • Minimized L2 norms within the volume of interest to reduce phase errors and preserve cortical information without regularization.
  • Evaluated NR-VSHARP accuracy using a digital brain phantom and compared it with VSHARP and iSMV in numerical and in vivo human brain studies.

Main Results:

  • NR-VSHARP significantly reduced relative local field and susceptibility map errors in a digital whole brain phantom compared to VSHARP and iSMV.
  • In vivo experiments demonstrated minimal boundary losses and effective phase error suppression with NR-VSHARP.
  • The susceptibility maps generated using NR-VSHARP minimized streaking artifacts, even with imperfect background field removal.

Conclusions:

  • The NR-VSHARP method provides minimal boundary losses and highly precise phase data.
  • This technique shows potential for facilitating high-quality quantitative susceptibility mapping.
  • NR-VSHARP offers an improved approach for artifact reduction in QSM.