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Abstract #3483

Flexible Real-Time Imaging of Highly-Dynamic Knee Joint Motion

Ozan Sayin1, Haris Saybasili1, 2, Liheng Guo1, John A. Carrino3, Frances T. Sheehan4, Mark A. Griswold2, 5, Nicole Seiberlich5, Daniel A. Herzka6

1Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD, United States; 2Department of Radiology, Case Western Reserve University, Cleveland, OH, United States; 3Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine, Baltimore, MD, United States; 4Rehabilitation Medicine, National Institutes of Health, Bethesda, MD, United States; 5Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States; 6Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States


Diagnosis and treatment monitoring of musculoskeletal defects require high-quality noninvasive imaging of dynamic phenomena in vivo. Real-time MRI is an emerging potential imaging strategy to achieve such a goal, thanks to recent advancements in parallel imaging. The current study demonstrate that real-time MRI with very low-latency display can be utilized to capture fast musculoskeletal motion on the knee joint. Specifically, radial GRAPPA with high degrees of undersampling (R=12) was applied and a reconstruction framework designed for low-latency display to observe free motion of the knee joint.

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