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Abstract #3454

Statistical evaluation of bi-exponential IVIM effect in healthy human liver and its dependence on the cut-off b-value for segmented biexponemtial fit

Oi Lei Wong1, Jing Yuan1, Gladys Goh Lo2, Thomas W. T. Leung3, Wai Ki Chung2, and Benny W. H. Ho2

1Medical Physics and Research Department, Hong Kong Sanatorium & Hospital, Hong Kong, Hong Kong, 2Department of diagnostic & interventional radiology, Hong Kong Sanatorium & Hospital, Hong Kong, Hong Kong, 3Comprehensive Oncology Center, Hong Kong Sanatorium & Hospital, Hong Kong, Hong Kong

The use of IVIM in assessing the microcapillary perfusion and true diffusion has attracted elevating attention. The segmented bi-exponential fitting has been widely adopted to calculate IVIM metrics, in which a cut-off b-value is pre-defined for perfusion and diffusion region separation. This study calculated the corrected Akaike Information Criterion (AICc) for bi-exponential IVIM model in the healthy human liver with varying cut-off b-values and then compared to the AICc for the mono-exponential model. The statistical preference of the bi-exponential model to mono-exponential model was demonstrated based on the lowest AICc. This bi-exponential model preference was independent of the choice of cut-off b-value and ROI location.

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