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Abstract #2600

Noise-corrected R2* estimation using 3D multi-gradient-echo Dixon for hepatic iron overload: Comparisons with 2D multi-gradient-echo sequences

Huimin Lin1, Stephan Kannengiesser2, Caixia Fu3, Jun Shen1, and Fuhua Yan1

1Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China, 2MR Application Predevelopment, Siemens Healthcare, Erlangen, Germany, 3Application Development, Siemens Shenzhen Magnetic Resonance Ltd., Shanghai, China

Different combinations of acquisition and postprocessing for R2* estimation were compared: 3D multi-gradient-echo Dixon vs. 2D multi-gradient-echo, with/without fat saturation (FS); noise-corrected (NC) vs. fat-and-noise-corrected (FNC) fitting. Twenty patients suspected of hepatic iron overload, but not having steatosis, were included. 3D_NC_R2* showed excellent agreement with 2D_NC_R2*. Up to medium R2*, this held also for 3D_FNC_R2* vs. 2D_NC_R2*; at high R2*, fat modeling reduced R2*. 2DFS_NC_R2* was also reduced. R2* standard deviation was lowest in 3D_FNC, and highest in 2DFS_NC. 3D multi-echo Dixon with noise correction is a promising technique for whole-liver iron quantification, but further analyses are necessary.

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