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Abstract #0384

Self-Navigated Kinematic Imaging of the Knee

Liheng Guo1, Antonio J. Machado Segundo2, John A. Derbyshire3, John A. Carrino2, Daniel A. Herzka4

1Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; 2Department of Radiology & Radiological Science, Johns Hopkins School of Medicine; 3Translational Medicine Branch, DIR, NHLBI, National Institutes of Health, Bethesda, MD; 4Department of Biomedical Engineering, Johns Hopkins School of Medicine

We propose a self-gated imaging method using navigator projections acquired at high spatiotemporal resolution and gated retrospective reconstruction, with the aim to provide high-quality kinematic joint imaging with minimal patient setup and no mechanical apparatus. Preliminary 2D imaging results of the knee in 3T have shown that the joint in motion can be clearly visualized from the automatically reconstructed cine.