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Abstract #2978

Optimize the sampling of volumetric magnetic resonance inverse imaging

Ruo-Ning Sun 1 , Ying-Hua Chu 1 , Yi-Cheng Hsu 1 , and Fa-Hsuan Lin 1,2

1 Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan, 2 Aalto University, Finland

Volumetric magnetic resonance inverse imaging (InI) typically only samples the central partition in a 3D k-space in order to achieve massively accelerated acquisition. However, considering the physiological noise scaled with the image pixel size, sampling InI at the central partition, corresponding the largest voxel size, may not be optimal. Using empirical data and quantifying the InI reconstruction by time domain signal-to-noise ratio (tSNR), we found that the optimal sampling partition for about 35% of the cortical locations is the first slow spatial harmonic (1/128 mm-1 with 256 mm FOV and 4 mm partition thickness).

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