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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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