Abstract #4262

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

Thomas Martin^1,2, 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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