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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