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Flow MR fingerprinting.

Sebastian Flassbeck1,2, Simon Schmidt1,2, Peter Bachert1,2

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This summary is machine-generated.

This study introduces Flow-MRF, a novel magnetic resonance method for precisely quantifying blood flow velocities and generating tissue relaxometry maps simultaneously. This technique shows potential for accelerating complex cardiovascular imaging procedures.

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Area of Science:

  • Medical Imaging
  • Biophysics
  • Cardiovascular Science

Background:

  • Magnetic Resonance Fingerprinting (MRF) enables simultaneous tissue property mapping.
  • Quantifying blood flow often requires separate, time-consuming imaging sequences.

Purpose of the Study:

  • To assess the feasibility of integrating blood velocity quantification into the MRF framework.
  • To simultaneously acquire relaxometric maps of static tissues.

Main Methods:

  • A modified MRF sequence (Flow-MRF) incorporating bipolar gradients was developed.
  • This sequence enables velocity-dependent signal phasing for tri-directional, time-resolved velocity quantification.
  • Accuracy was validated using simulations, phantom studies, and in vivo imaging.

Main Results:

  • Flow-MRF accurately quantified velocities with <0.1% deviation from ground truth, even with cardiac cycle variations.
  • Excellent agreement was observed between Flow-MRF and standard phase-contrast cine for velocity quantification in phantoms.
  • Relaxometric measurements (T1/T2) in phantoms and in vivo knee muscle showed good agreement with reference methods and literature values.

Conclusions:

  • Flow-MRF offers a novel approach for simultaneous blood velocity quantification and relaxometric mapping.
  • This method holds potential for significantly accelerating time-resolved velocity imaging acquisition times.