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Abstract #1730

Hybrid Modeling for Perfusion Quantification Using Intravoxel Incoherent Motion MRI

Yen-Peng Liao1, Shin-ichi Urayama2, Hidenao Fukuyama2, and Denis Le Bihan3

1Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan, 2Training Program of Leaders for Integrated Medical System, Kyoto University, Kyoto, Japan, 3Neurospin, Gif-sur-Yvette, France

IVIM-MRI has been used to estimate perfusion-relative parameters. To increase signal fitting robustness in case of limited SNR, an asymptotic method was recommended. Hence, with the asymptotic method, a threshold b-value should be determined above which flow contamination is deemed negligible. Various diffusion models and a wide range of values for this threshold can be found in the literature. These two effects on quantification were investigated using both computer simulations and human brain data. The results showed that the choice of the model and the threshold critically influenced the quantitative parameters. We proposed a hybrid-modeling method to minimize systematic errors.

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