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Abstract #2567

Continuous adaptive sampling of k-space from real-time physiologic feedback in MRI

Francisco Contijoch 1 , Yuchi Han 1 , Michael Hansen 2 , Peter Kellman 2 , Gene Gualtieri 3 , Mark A Elliott 1 , Sebastian Berisha 1 , James J Pilla 1 , Robert C Gorman 1 , and Walter RT Witschey 1

1 University of Pennsylvania, Philadelphia, PA, United States, 2 National Institute of Health, Bethesda, Maryland, United States, 3 Drexel University, Philadelphia, PA, United States

Inconsistent motion during a cine MRI can result in image artifacts, loss of signal-to-noise ratio, or poor representation of the underlying physiology because the scan does not always respond correctly or quickly, to changes in physiology. We proposed an adaptive real-time k-space sampling trajectory (ARKS) to respond to a physiologic feedback signal to reduce motion effects and ensure sampling uniformity. The most recent signals from an ECG waveform of normal subjects and patients were continuously matched to the previous signal history, new radial k-space locations were determined, and these MR signals were combined using multi-shot or single-shot radial acquisition schemes.

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