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In vitro Assessment of Aortic Regurgitation Using Four-Dimensional Flow Magnetic Resonance Imaging
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Highly accelerated aortic 4D flow MR imaging with variable-density random undersampling.

Jing Liu1, Petter Dyverfeldt2, Gabriel Acevedo-Bolton1

  • 1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States.

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|May 22, 2014
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A new method combining time-resolved variable-density random undersampling and parallel imaging (SPIRiT) enables 6x faster 4D flow MRI of the aorta with high accuracy. This technique accurately captures blood flow dynamics, crucial for cardiovascular research.

Keywords:
FlowParallel imagingRandomTime-resolvedUndersamplingView sharing

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Area of Science:

  • Cardiovascular MRI
  • Medical Imaging Physics

Background:

  • Accelerated 4D flow MRI is crucial for clinical applications.
  • High acceleration rates often compromise image quality and accuracy.

Purpose of the Study:

  • To develop and evaluate a time-resolved variable-density random undersampling scheme.
  • To combine it with an efficient parallel image reconstruction method for accelerated aortic 4D flow MRI.
  • To achieve high reconstruction accuracy at high acceleration factors.

Main Methods:

  • Variable-density Poisson-disk sampling (vPDS) was used in spatial and temporal domains for acceleration.
  • A novel reconstruction method, STIRRUP, was introduced for improved initial solutions in SPIRiT.
  • Methods were validated retrospectively on fully sampled data from healthy subjects and a flow phantom.

Main Results:

  • A 6-fold acceleration was achieved using time-resolved vPDS, STIRRUP, and SPIRiT with only 5 coils.
  • Flow waveforms showed high accuracy (NRMSE 0.04±0.02) compared to fully sampled data.
  • Peak-systolic mean velocity differences were minimal (-0.29±2.56cm/s).

Conclusions:

  • The developed time-resolved variable-density random sampling is effective for accelerating 4D flow imaging.
  • High reconstruction accuracy is maintained even at accelerated scan times.
  • This approach shows promise for efficient cardiovascular flow assessment.