Non Linear Phase model for correction of magnetic field inhomogeneity Effects in Quantitative gradient Echo based MRI
Résumé
R2* plays an important role in the quantitative evaluation of the brain function and tissue iron content. Unfortunately, susceptibility induced macroscopic eld inho- mogeneities B0macro across an image voxel act to increase the R2 * in a gradient echo image. If these B0macro are measurable their in uence can be removed in post processing. Conventionally, these algorithms assume the phase evolves linearly with time ; however, in the presence of a large B0macro, e.g. near the edge of the brain, this is assumption is broken , .The phase evolution appears random. In this work, we hypothesize that the phase evolution in the presence of large B0macro, can be modeled and corrected using 1D-random-walk theory.
Domaines
Physique Médicale [physics.med-ph]
Origine : Fichiers produits par l'(les) auteur(s)
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