Susceptibility Mapping Using Regularization Enabled Harmonic Artifact Removal

Keywords

accounting accurate achieve acquisition adding agrees amplified arrows artifact artifacts background balancing better biomedical boundaries boundary brain calculations chosen complex component computing concentrated convolution covering dark datasets decomposition deep delineation denotes developed deviation deviations dimensional displays distinct distribution effective efficiency eliminate ellipsoid ellipsoids enabled engineering enhance equation error evidently expected fidelity field filtered findings five forward harmonic healthy hence human improved in vivo indicated induced induces inside intensity inter international inversion iron kernel larger least linear local magnitude majority male mapping maps measured minimal minimization model much multiplier nonnegative norm numerically original outside patterns phantom pixels posed prerequisite problem promoted quantify quantitative radius reduced referred regression regularization relaxing remaining removal remove residual resolution severe sharp simulation since singular slope smaller solution solutions solved solves spatial sphere structures subject subjects substantially suppressed susceptibilities susceptibility table term theory tissue tolerance transform true truncated truncation uniformity unique variables variation violated violating volume volunteers white year zeros