Literature DB >> 35646241

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

Shen Zhao1, Rizwan Ahmad1,2, Lee C Potter1.   

Abstract

In phase-contrast magnetic resonance imaging (PC-MRI), the velocity of spins at a voxel is encoded in the image phase. The strength of the velocity encoding gradient offers a trade-off between the velocity-to-noise ratio (VNR) and the extent of phase aliasing. Phase differences provide invariance to an unknown background phase. Existing literature proposes processing a reduced set of phase difference equations, simplifying the phase unwrapping problem at the expense of VNR or unaliased range of velocities, or both. Here, we demonstrate that the fullest unambiguous range of velocities is a parallelepiped, which can be accessed by jointly processing all phase differences. The joint processing also maximizes the velocity-to-noise ratio. The simple understanding of the unambiguous parallelepiped provides the potential for analyzing new multi-point acquisitions for an enhanced range of unaliased velocities; two examples are given.

Entities:  

Keywords:  Phase-contrast imaging; multivariate congruence equations; phase unwrapping

Year:  2022        PMID: 35646241      PMCID: PMC9136874          DOI: 10.1109/isbi52829.2022.9761589

Source DB:  PubMed          Journal:  Proc IEEE Int Symp Biomed Imaging        ISSN: 1945-7928


  5 in total

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Authors:  Michael Markl; Alex Frydrychowicz; Sebastian Kozerke; Mike Hope; Oliver Wieben
Journal:  J Magn Reson Imaging       Date:  2012-11       Impact factor: 4.813

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Authors:  Kevin M Johnson; Michael Markl
Journal:  Magn Reson Med       Date:  2010-02       Impact factor: 4.668

5.  A Bayesian model for highly accelerated phase-contrast MRI.

Authors:  Adam Rich; Lee C Potter; Ning Jin; Joshua Ash; Orlando P Simonetti; Rizwan Ahmad
Journal:  Magn Reson Med       Date:  2015-10-07       Impact factor: 4.668

  5 in total

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