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Phase-contrast acceleration mapping with synchronized encoding.

Simon Schmidt1,2,3, Martin Bruschewski4, Sebastian Flassbeck1,5,6

  • 1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.

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|July 27, 2021
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Summary
This summary is machine-generated.

This study introduces a novel phase-contrast (PC) method for precise acceleration vector field quantification. The synchronized encoding (SYNC SPI) technique significantly reduces bias in acceleration mapping for in-vitro studies.

Keywords:
acceleration mappingdisplacement artifactflow MRIphase-contrast magnetic resonance imaging

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Area of Science:

  • Medical Imaging
  • Biophysics
  • Fluid Dynamics

Background:

  • Phase-contrast (PC) imaging is crucial for quantifying fluid flow in biological systems.
  • Accurate measurement of acceleration is vital for understanding complex hemodynamics.
  • Existing methods for acceleration mapping often suffer from bias and inaccuracies.

Purpose of the Study:

  • To develop a novel phase-contrast (PC) based method for direct and unbiased quantification of the acceleration vector field.
  • To synchronize spatial and acceleration encoding time points for improved accuracy.
  • To validate the method for in-vitro applications and clinically relevant acceleration-encoded sequences.

Main Methods:

  • Modified a velocity-encoded sequence with synchronized encoding (SYNC SPI) by replacing bipolar gradients with tripolar waveforms.
  • Enabled direct acceleration mapping by altering gradient waveforms.
  • Validated the method using rotation and stenosis phantoms in in-vitro flow studies.

Main Results:

  • The proposed SYNC SPI method reduced angular bias in acceleration vector fields from (7.8 ± 3.2)° to (-0.4 ± 2.7)° compared to conventional PC methods.
  • Flow features in a stenosis phantom showed displacements up to 10 mm with conventional PC methods versus the proposed method.
  • Demonstrated significantly higher accuracy and reduced systematic bias in acceleration quantification.

Conclusions:

  • Successfully developed a highly accurate method for direct acceleration mapping.
  • Complements existing velocity-encoded SYNC SPI for comprehensive velocity and acceleration vector field quantification in in-vitro studies.
  • Provides a tool for validating conventional acceleration-encoded PC methods for in-vivo applications.