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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