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MAXIMIZING UNAMBIGUOUS VELOCITY RANGE IN PHASE-CONTRAST MRI WITH MULTIPOINT ENCODING.

Shen Zhao1, Rizwan Ahmad1,2, Lee C Potter1

  • 1The Ohio State University, Department of Electrical and Computer Engineering.

Proceedings. IEEE International Symposium on Biomedical Imaging
|June 1, 2022
PubMed
Summary
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Phase-contrast MRI (PC-MRI) uses phase encoding for velocity measurement. We show jointly processing all phase differences maximizes velocity-to-noise ratio and unaliased velocity range, defining it as a parallelepiped.

Area of Science:

  • Medical Imaging
  • Biophysics
  • Magnetic Resonance Imaging

Background:

  • Phase-contrast MRI (PC-MRI) encodes spin velocity in image phase.
  • Velocity encoding gradient strength involves a trade-off between velocity-to-noise ratio (VNR) and phase aliasing.
  • Current methods often simplify phase difference equations, limiting VNR or velocity range.

Purpose of the Study:

  • To demonstrate that jointly processing all phase differences in PC-MRI maximizes the unambiguous velocity range and VNR.
  • To define the shape of the fullest unambiguous velocity range.
  • To explore potential applications of this understanding for novel multi-point acquisitions.

Main Methods:

  • Analysis of phase difference equations in PC-MRI.
  • Mathematical definition of the unambiguous velocity range as a parallelepiped.
Keywords:
Phase-contrast imagingmultivariate congruence equationsphase unwrapping

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  • Demonstration of joint processing of all phase differences.

    • Main Results:

    • The fullest unambiguous range of velocities in PC-MRI is a parallelepiped.
    • Jointly processing all phase differences maximizes both VNR and the unaliased velocity range.
    • This approach offers potential for enhanced analysis of multi-point acquisitions.

    Conclusions:

    • Joint processing of all phase differences is optimal for PC-MRI velocity quantification.
    • The parallelepiped model provides a new framework for understanding velocity limits.
    • This work enables the development of advanced PC-MRI techniques for broader applications.