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Abstract #1645

Non-Linear Correction of 3D R2* Maps with Fast through-Plane Gradient Mapping Computation

Chemseddine Fatnassi 1,2 , Gunnar Krueger 2,3 , Reto Meuli 1 , and Kieran O'Brien 2,4

1 Universit de Lausanne/Centre Hospitalier Universitaire de Lausanne, Lausanne, Switzerland, 2 CIBM - AIT, cole Polytechnique Fdrale de Lausanne, Lausanne, Switzerland, 3 Advanced Clinical Imaging Technology, Siemens Healthcare IM BM PI, Lausanne, Switzerland, 4 Hpitaux Universitaires de Genve, Genve, Switzerland

In 3D GRE, B0macro field gradients due to air/tissue interfaces lead to an apparent increase in the intravoxel dephasing and leads to large signal loss or inaccurate R2* estimation. If these B0macro are measurable, their influence can be removed. The algorithms normally assume the phase evolves linearly with time; however, in the presence of a large B0macro, this assumption is broken, Furthermore, the central difference approximation used to estimate gradient leads to edge artifacts at the brain's edges. To overcome these problems, we hypothesize a non-linear phase evolution including a fast computation of the through-plane gradient.

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