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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