Evidence map›Paper›PMID 41359402›Full record

ArticleMagnetic resonance in medicine2026

Jointly Learned 3D Non-Cartesian Sampling With Wave Encoding and Reconstruction for Neurovascular Phase Contrast MRI.

Chenwei Tang, Brock W Jolicoeur, James Rice, Caroline A Doctor, Zaynab S Yardim, Leonardo A Rivera-Rivera, Laura B Eisenmenger, Kevin M Johnson

Abstract read
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In one paragraph

Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Chenwei TangDepartment of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0001-8140-0548
Brock W JolicoeurDepartment of Radiology, University of Wisconsin, Madison, Wisconsin, USA.ORCID https://orcid.org/0009-0002-9354-7103
James RiceDepartment of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
Caroline A DoctorDepartment of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA.ORCID https://orcid.org/0009-0006-5989-1401
Zaynab S YardimDepartment of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
Leonardo A Rivera-RiveraDepartment of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA.
Laura B EisenmengerDepartment of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
Kevin M JohnsonDepartment of Medical Physics, University of Wisconsin, Madison, Wisconsin, USA.ORCID https://orcid.org/0000-0002-8660-0853

Funding

Wisconsin Registry for Alzheimer's Prevention: Sex Differences in DNA MethylationR01AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Nathaniel Ark Chin, Sterling C Johnson · 2007 to 2026
$35.6M
Wisconsin Alzheimer's Disease Research CenterP30AG062715 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Barbara Brigitta Bendlin · 2019 to 2026
$34.5M
The Longitudinal Course of Neural Function and Amyloid in People At Risk for ADR01AG021155 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sterling C Johnson · 2004 to 2026
$27.0M
Non-Invasive Imaging Markers to Elicit the Role of Vascular Involvement in Alzheimer’s DiseaseR01AG075788 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Kevin Michael Johnson · 2022 to 2026
$3.2M
Optimizing MRI for Neurologic Screening using Radiologist CrowdsourcingR21NS125094 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI JOHNSON, KEVIN MICHAEL · 2022 to 2022
$414k
NIA NIH HHS P30 AG062715NIA NIH HHS R01 AG021155NIA NIH HHS R01 AG027161NIA NIH HHS R01 AG075788NIH HHS 1R21NS125094NIH HHS P30AG062715NIH HHS R01AG021155NIH HHS R01AG027161NIH HHS R01AG075788NINDS NIH HHS R21 NS125094
6 · The paper itself

Abstract

purposeTo develop accelerated 3D phase contrast (PC) MRI using jointly learned wave encoding and reconstruction.

methodsPseudo-fully sampled neurovascular 4D flow data (N = 40) and a simulation framework were used to learn phase encoding locations, wave readout parameters, and model-based reconstruction network (MoDL) for a rapid 3D PC scan (2.25 min). Parameters were also learned for an otherwise identical scan without wave encoding. Prospective scans with and without wave sampling, time-matched 3D radial, and reference 3D radial (5.65 min) were conducted in a flow phantom and 12 healthy participants. Flow rate, pixel-wise velocity, and variability of maximum velocity (

resultsIn the phantom, learned wave scans provided accurate flow rates compared to flow probe values (0.170 ± 0.002 vs. 0.17, 0.152 ± 0.003 vs. 0.15, 1.838 ± 0.044 vs. 1.83 L/min) and showed high correlation with reference scan (slope = 0.97, R

conclusionThis work demonstrates feasibility, improved image quality and accurate flow measurements of learned wave sampling and MoDL reconstruction for 3D PC MRI.

Indexed as

BrainCerebrovascular CirculationImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingAdultAlgorithmsBlood Flow VelocityComputer SimulationFemaleHealthy VolunteersHumansMalePhantoms, ImagingProspective StudiesReproducibility of Resultsdeep learningnon‐cartesian sampling optimizationphase contrastwave encoding

Identifiers

PMID41359402
PMCPMC12962207

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.