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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