The diagnosis pancreatic fat infiltration is commonly performed with consideration of histopathology in combination with CT /MRI images. This study evaluated the performance of two fat content measurement methods using 3D mDIXON Quant images, based on interest-based hand-drawn area (ROI) placement and threshold-based segmentation. Results by the two methods show good agreement, indicating that both of the two methods can be reliable for evaluation of the pancreas fat content. While, the method based threshold segmentation is recommended in this study, since it can provide a full evaluation of fat contents across the pancreas and can be more convenient in implementation.
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