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A Multimodal Wide-Field Fourier-Transform Raman Microscope
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Accelerated radial Fourier-velocity encoding using compressed sensing.

Fabian Hilbert1, Tobias Wech2, Dietbert Hahn1

  • 1Institute of Radiology, University of Würzburg, Germany.

Zeitschrift Fur Medizinische Physik
|November 19, 2013
PubMed
Summary
This summary is machine-generated.

Accelerated Fourier Velocity Encoding with Compressed Sensing significantly reduces scan times for Magnetic Resonance Imaging (MRI). This technique accurately measures blood flow velocity distributions in small vessels, matching conventional Phase Contrast MRI acquisition times.

Keywords:
Beschleunigte AufnahmeCompressed SensingGeschwindigkeitsmessungHerz-KreislaufRadial MRIRadiale MR-Bildgebungaccelerated acquisitioncardio-vascularvelocity mapping

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Area of Science:

  • Medical Imaging
  • Biophysics
  • Cardiovascular Science

Background:

  • Phase Contrast MRI (PC-MRI) measures mean blood flow velocity, limiting its use to larger vessels.
  • Fourier Velocity Encoding (FVE) captures velocity distributions but requires lengthy acquisition times.
  • Accurate velocity distribution is crucial for diagnosing stenosis in small vessels.

Purpose of the Study:

  • To accelerate Fourier Velocity Encoding (FVE) for blood flow velocity distribution measurement.
  • To achieve FVE acquisition times comparable to conventional PC-MRI.
  • To enable accurate assessment of velocity distributions in small vessels.

Main Methods:

  • Utilized ECG-triggered, radial CINE MRI acquisition in the femoral artery of healthy volunteers.
  • Accelerated data acquisition through undersampling, with reconstruction via Compressed Sensing.
  • Compared velocity spectra from fully sampled and undersampled FVE with high-resolution PC-MRI.

Main Results:

  • Reduced FVE acquisition time from 40 minutes to 3:10 minutes using 12.6-fold undersampling.
  • Undersampled FVE data acquisition time is similar to conventional PC-MRI.
  • Velocity spectra from fully sampled and undersampled FVE showed good agreement with PC-MRI maximum velocities.

Conclusions:

  • Compressed Sensing reliably reconstructs undersampled FVE data.
  • FVE enables accurate velocity distribution determination in voxel-sized vessels.
  • This accelerated FVE method provides detailed velocity spectra without increasing scan time compared to PC-MRI.