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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