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Magnetic Resonance in Medicine
Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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PubMed Central
Other literature type . 2024
License: CC BY
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An Eulerian formulation for the computational modeling of phase‐contrast MRI

Authors: Tomohiro Otani; Tetsuro Sekine; Yu Sato; Ellen Cavalcante Alves; Shigeo Wada;

An Eulerian formulation for the computational modeling of phase‐contrast MRI

Abstract

AbstractPurposeComputational simulation of phase‐contrast MRI (PC‐MRI) is an attractive way to physically interpret properties and errors in MRI‐reconstructed flow velocity fields. Recent studies have developed PC‐MRI simulators that solve the Bloch equation, with the magnetization transport being modeled using a Lagrangian approach. Because this method expresses the magnetization as spatial distribution of particles, influences of particle densities and their spatial uniformities on numerical accuracy are well known. This study developed an alternative method for PC‐MRI modeling using an Eulerian approach in which the magnetization is expressed as a spatially smooth continuous function.MethodsThe magnetization motion was described using the Bloch equation with an advection term and computed on a fixed grid using a finite difference method, and k‐space sampling was implemented using the spoiled gradient echo sequence. PC‐MRI scans of a fully developed flow in straight and stenosed cylinders were acquired to provide numerical examples.ResultsReconstructed flow in a straight cylinder showed excellent agreement with input velocity profiles and mean errors were less than 0.5% of the maximum velocity. Numerical cases of flow in a stenosed cylinder successfully demonstrated the velocity profiles, with displacement artifacts being dependent on scan parameters and intravoxel dephasing due to flow disturbances. These results were in good agreement with those obtained using the Lagrangian approach with a sufficient particle density.ConclusionThe feasibility of the Eulerian approach to PC‐MRI modeling was successfully demonstrated.

Keywords

modified Bloch equation, Image Interpretation, Computer-Assisted, high-performance computing, 610, Humans, Reproducibility of Results, Computer Simulation, Eulerian formulation, phase-contrast MRI, Computer Processing and Modeling, Magnetic Resonance Imaging, Algorithms, Blood Flow Velocity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green
hybrid
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