Deep learning-based velocity antialiasing of 4D-flow MRI.

Authors:
Berhane H; Scott MB; Barker AJ; McCarthy P; Avery R and 5 more

Journal:
Magn Reson Med

Publication Year: 2022

DOI:
10.1002/mrm.29205

PMCID:
PMC9050855

PMID:
35381116

View on PubMed View on PMC View Publisher
Journal Information

Full Title: Magn Reson Med

Abbreviation: Magn Reson Med

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Diagnostic Imaging

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

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Transparency Score
4/6
66.7% Transparent
Transparency Indicators
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Core Indicators
Evidence found in paper:

"data availability statement code for the cnn are available on github here: https://github com/hberhane/4d-flow-velocity-aliasing-cnn ."

Evidence found in paper:

"code is provided here: https://github com/hberhane/4d-flow-velocity-aliasing-cnn 2 7 the velocity anti-aliasing cnn was compared with a fully automatic conventional phase-unwrapping algorithm.; data availability statement code for the cnn are available on github here: https://github com/hberhane/4d-flow-velocity-aliasing-cnn ."

COI Disclosure
Evidence found in paper:

"Funding information National Heart, Lung, and Blood Institute of the National Institutes of Health, F30 HL145995; R01 HL 133504; R01 HL 115828"

Protocol Registration
Open Access
Paper is freely available to read
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Replication
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Assessment Info

Tool: rtransparent

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Last Updated: Aug 05, 2025