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.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
