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Abstract #2869

One Minute Free-Breathing 3D Cardiac Cine Imaging with Adaptive Respiratory Self-Gating Efficiencies

Jing Liu1, Li Feng2, Karen Ordovas1, and David Saloner1

1University of California San Francisco, San Francisco, CA, United States, 2New York University, New York, NY, United States

Cardiac cine imaging has become the standard for cardiac functional measurements. However, a series of breath-holds are required to acquire 2D cine images covering the whole heart. The capability of children or sick patients to perform consistent breath-holds is limited and often results in non-diagnostic images. We aim to develop a fast and reliable 3D imaging technique for cardiac functional assessment, which only requires one minute of scan time during free breathing. To compensate for respiratory motion, which varies substantially among subjects, we propose to apply adaptive respiratory self-gating efficiencies to generate reliable image quality for 3D cardiac cine imaging.

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