Abstract #2482

Feasibility of Liver Fat Quantification based on the Threshold Extraction on fast 3D mDIXON images

Nan Zhang¹, Qingwei Song¹, Renwang Pu¹, Haonan Zhang¹, Yu Song¹, Jiazheng Wang², Liangjie Lin², and Ailian Liu¹

¹The First Affiliated Hospital of Dalian Medical University, Dalian, China, ²Philips Healthcare, Beijing, China

The present study aims to explore feasibility of the threshold extraction method for liver fat quantification on the CS-SENSE 3D mDIXON-Quant images. Different from the conventional measurement of liver fat contents based on regions of interest that can be limited when the patients are associated with inhomogeneous fat distribution, liver fat quantification based on the 3D threshold-extraction can be more convenient and reliable.

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