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Abstract #4262

3D Stack-of-Stars Dixon Fat-Only Signal for Respiratory Motion Detection

Thomas Martin1,2, Andres Saucedo1, Tess Armstrong1, Holden Wu2, Danny Wang3, and Kyunghyun Sung2

1Biomedical Physics, UCLA, Los Angeles, CA, United States, 2Radiological Sciences, UCLA, Los Angeles, CA, United States, 3Neurology, UCLA, Los Angeles, CA, United States

Respiratory motion is one of the biggest confounders of liver DCE-MRI. There are methods that use a 3D radial self-gated signal (SGS) to compensate for respiratory motion. However, SGS includes both respiratory motion and contrast uptake in DCE-MRI, and it is not trivial to perfectly separate the two from SGS, leading to inaccuracies of respiratory motion. In this work, we propose a method to extract the respiratory motion only from SGS using golden angle radial acquisition with two-point Dixon separation. The proposed method utilizes the fact the fat-only SGS does not include contrast uptake while including the same respiratory motion.

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