Yen-Peng Liao1,2, Shin-ichi Urayama1,2, Tadashi Isa1,2,3, and Hidenao Fukuyama2,4
1Department of Neuroscience, Kyoto University Graduate School of Medicine, Kyoto, Japan, 2Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan, 3Institute for the Advanced Study of Human Biology (ASHBi), Kyoto University, Kyoto, Japan, 4Yasu City Hospital, Yasu, Japan
1Department of Neuroscience, Kyoto University Graduate School of Medicine, Kyoto, Japan, 2Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan, 3Institute for the Advanced Study of Human Biology (ASHBi), Kyoto University, Kyoto, Japan, 4Yasu City Hospital, Yasu, Japan
The aim of this study is to investigate the effect of the signal-to-noise ratio (SNR) in the optimal model mapping method for the IVIM-MRI. A sufficient high SNR was needed for the optimal model mapping method. The potential of the optimal model mapping can be expected with quality IVIM-MRI data.
Figure 1. The optimal model maps with different NAs.
Figure 3. The influence of SNR (represented by number of averages, NA) on the percentage optimal model territory, fp, and D*.
