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Abstract #2129

Total liver fat quantification using a 3D respiratory self-gating technique

Carolina Arboleda Clavijo 1 , Daniel Aguirre-Reyes 1 , Cristin Tejos 1 , Loreto Muoz 2 , Catalina Carvajal 2 , Pablo Irarrazaval 1 , Marcelo Andia 3 , and Sergio Uribe 3

1 Department of Electrical Engineering, Pontificia Universidad Catlica de Chile, Santiago, Chile, 2 Chemistry and Bioprocesses Department, Pontificia Universidad Catlica de Chile, Santiago, Chile, 3 Department of Radiology, Faculty of Medicine, Pontificia Universidad Catlica de Chile, Santiago, Chile

We present a 3D 3-point Dixon liver fat imaging sequence with real-time respiratory self-gating to quantify fat fraction in the liver. The respiratory self-gating method monitors the breathing motion by acquiring a center k-space profile and adjusts the acquisition scheme to reacquire motion-corrupted data. To prove the applicability and precision of the technique, we performed experiments in a phantom consisting of several water-fat emulsions and in 13 volunteers. The results obtained show that the proposed method yields more precise fat fraction maps of the entire liver in a single free breathing scan than the current gold-standard method.

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