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Abstract #1282

Image-based self-gating for motion artifact free imaging of the eye

Kilian Stumpf1, Hanna Frantz1, Patrick Metze1, Thomas Hüfken1, Tobias Speidel1, and Volker Rasche1
1Department of Internal Medicine II, Ulm University Medical Center, Ulm, Germany

MR acquisitions of the eyes are often complicated by eye motions leading to the occurrence of motion artifacts in the images. Using a tiny golden angle profile ordering scheme and a sliding window reconstruction the position of the optic nerve is identified and tracked via peak analysis of signal intensities along a 1-D-line containing the optic nerve. An image-based self-gating signal is derived from the calculated nerve locations. This approach not only leads to distinct reduction of motion artifacts but also enables the visualization of various motion phases occurring during the data acquisition without the use of external tracking devices.

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