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Autre Publication Scientifique Année : 2014

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.

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Dates et versions

hal-00954388 , version 1 (05-03-2014)

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Chemseddine Fatnassi, G. Krueger, R. Meuli, K. O'Brien. Non Linear Phase model for correction of magnetic field inhomogeneity Effects in Quantitative gradient Echo based MRI. 2014. ⟨hal-00954388⟩
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