Advances in real-time phase-contrast flow MRI using asymmetric radial gradient echoes Article Swipe

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Markus Untenberger , Zhengguo Tan , Dirk Voit , Arun Joseph , Volkert Roeloffs , K. D. Merboldt , Sebastian Schätz , Jens Frahm ·

YOU? · · 2015 · Open Access · · DOI: https://doi.org/10.1002/mrm.25696

Asymmetric gradient echoes were successfully implemented for highly undersampled radial trajectories. The resulting temporal gain offers full velocity compensation for real-time phase-contrast flow MRI which minimizes false-positive contributions from complex flow and further enhances the temporal resolution compared with acquisitions with symmetric echoes.

Related Topics

Contrast (Vision)

Computer Science

Physics

Nuclear Magnetic Resonance

Optics

Artificial Intelligence

Radiology

Medicine

Radar

Concepts

Real-time MRI Imaging phantom Temporal resolution Pressure gradient Contrast (vision) Flow (mathematics) Waveform Image quality Computer science Physics Nuclear magnetic resonance Magnetic resonance imaging Optics Artificial intelligence Radiology Mechanics Medicine Image (mathematics) Telecommunications Radar

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Type: article
Language: en
Landing Page: https://doi.org/10.1002/mrm.25696
PDF: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mrm.25696
OA Status: bronze
Cited By: 53
References: 35
Related Works: 10
OpenAlex ID: https://openalex.org/W1601923870

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OpenAlex ID: https://openalex.org/W1601923870

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DOI: https://doi.org/10.1002/mrm.25696

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Title: Advances in real-time phase-contrast flow MRI using asymmetric radial gradient echoes

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Type: article

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Language: en

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Publication year: 2015

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Publication date: 2015-06-22

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Authors: Markus Untenberger, Zhengguo Tan, Dirk Voit, Arun Joseph, Volkert Roeloffs, K. D. Merboldt, Sebastian Schätz, Jens Frahm

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Landing page: https://doi.org/10.1002/mrm.25696

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PDF URL: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mrm.25696

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OA status: bronze

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Concepts: Real-time MRI, Imaging phantom, Temporal resolution, Pressure gradient, Contrast (vision), Flow (mathematics), Waveform, Image quality, Computer science, Physics, Nuclear magnetic resonance, Magnetic resonance imaging, Optics, Artificial intelligence, Radiology, Mechanics, Medicine, Image (mathematics), Telecommunications, Radar

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Cited by: 53

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Citations by year (recent): 2025: 2, 2023: 6, 2022: 4, 2021: 6, 2020: 5

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References (count): 35

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Related works (count): 10

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