Abstract #1487
Optimized Gridding Reconstruction for 3D Radial MRI of Hyperpolarized 129 Xe
Scott H. Robertson 1 , Rohan S. Virgincar 2 , Mu He 3 , S. Sivaram Kaushik 2 , Matthew S. Freeman 1 , and Bastiaan Driehuys 4
1
Medical Physics Graduate Program, Duke
University, Durham, NC, United States,
2
Department
of Biomedical Engineering, Duke University, Durham, NC,
United States,
3
Department
of Electrical and Computer Engineering, Duke University,
Durham, NC, United States,
4
Radiology,
Duke University Medical Center, Durham, NC, United
States
Hyperpolarized
129
Xe
MRI faces well-known challenges associated with a
limited, transient, and non-recoverable signal. These
problems are well addressed by 3D radial acquisition,
which is insensitive to magnetization dynamics, robust
to undersampling, exhibits minimal gradient-induced
diffusion attenuation, and achieves ultrashort TE and
short TR. However, non-Cartesian reconstruction of
radially acquired HP gas MRI requires careful tuning of
key parameters such as the oversampling ratio, density
compensation, kernel function, kernel sharpness, and
kernel extent. This work explains and optimizes these
aspects of non-Cartesian reconstruction for as they
pertain specifically to radially acquired HP gas MRI.
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