Evidence map›Paper›PMID 41472402›Full record

ArticleMagnetic resonance in medicine2026

In Vivo Meso-Scale Whole-Brain Quantitative Imaging With Tailored MRF on the NexGen 7T Scanner.

Xiaozhi Cao, Alexander Beckett, Congyu Liao, Erica Walker, Zheren Zhu, Yurui Qian, Mengze Gao, Nan Wang, Yimeng Lin, Lisong Gong and 11 more

Abstract read
PubMed Full text at PMC Publisher
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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

21 authors.

Xiaozhi CaoDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0001-5095-648X
Alexander BeckettHelen Wills Neuroscience Institute, University of California, Berkeley, California, USA.
Congyu LiaoDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.ORCID https://orcid.org/0000-0003-2270-276X
Erica WalkerHelen Wills Neuroscience Institute, University of California, Berkeley, California, USA.
Zheren ZhuDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.ORCID https://orcid.org/0000-0002-8378-5063
Yurui QianDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Mengze GaoDepartment of Radiology, Stanford University, Stanford, California, USA.
Nan WangDepartment of Radiology, Stanford University, Stanford, California, USA.
Yimeng LinDepartment of Radiology, Stanford University, Stanford, California, USA.
Lisong GongDepartment of Radiology, Stanford University, Stanford, California, USA.
Matthew A McCreadyDepartment of Electrical Engineering, Stanford University, Stanford, California, USA.
Zhixing WangDepartment of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.ORCID https://orcid.org/0000-0002-8189-0601
Zhitao LiDepartment of Radiology, Northwestern University, Evanston, Illinois, USA.ORCID https://orcid.org/0000-0003-3462-6549
An VuDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Samantha MaSiemens Medical Solutions USA Inc., Berkeley, California, USA.ORCID https://orcid.org/0000-0003-3127-455X
Gabriel Ramos-LlordénMartinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Qiyuan TianCenter for Biomedical Imaging Research, Tsinghua University, Beijing, China.
Adam KerrDepartment of Electrical Engineering, Stanford University, Stanford, California, USA.
Yang YangDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
David A FeinbergHelen Wills Neuroscience Institute, University of California, Berkeley, California, USA.
Kawin SetsompopDepartment of Radiology, Stanford University, Stanford, California, USA.

Funding

CONNECTOME 2.0: DEVELOPING THE NEXT GENERATION HUMAN MRI SCANNER FOR BRIDGING STUDIES OF THE MICRO-, MESO- AND MACRO-CONNECTOMEU01EB026996 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BASSER, PETER J., HUANG, SUSIE YI · 2018 to 2022
$14.2M
MRI CORTICOGRAPHY: DEVELOPING NEXT GENERATION MICROSCALE HUMAN CORTEX MRI SCANNERU01EB025162 · NIBIB · UNIVERSITY OF CALIFORNIA BERKELEY · PI FEINBERG, DAVID ALAN, LIU, CHUNLEI · 2017 to 2021
$13.4M
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang · 2020 to 2026
$10.9M
Next generation in-vivo diffusion imaging at submillimeter resolutionR01MH116173 · NIMH · STANFORD UNIVERSITY · PI Yogesh Rathi, Kawin Setsompop · 2018 to 2026
$6.2M
fMRI Technologies for Imaging at the Limit of Biological Spatiotemporal Resolution: Administrative SupplementR01EB019437 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI POLIMENI, JONATHAN RIZZO, SETSOMPOP, KAWIN · 2015 to 2024
$5.5M
NexGen 7T MRI scanner for mesoscale brain imaging: Integration and DisseminationU24NS129949 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Alexander Beckett, David Alan Feinberg · 2023 to 2026
$5.3M
Three-Dimensional Patient-Tailored RF Pulses for Spin Echo Neuroimaging at 7 TR01EB016695 · NIBIB · VANDERBILT UNIVERSITY · PI GRISSOM, WILLIAM A · 2014 to 2021
$3.8M
MRI technology for restoring brain image quality for pediatric patients with metallic orthodontic hardwareR01EB028797 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Berkin Bilgic, Jason P Stockmann · 2020 to 2026
$3.0M
Rapid MRI acquisition for pediatric low-grade gliomasR01EB020613 · NIBIB · STANFORD UNIVERSITY · PI SETSOMPOP, KAWIN · 2016 to 2019
$2.5M
Robust and precise imaging of infant brain development with magneticresonance imagingR01HD114719 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Congyu Liao · 2024 to 2026
$1.6M
Fast and robust quantitative MRI with tissue-susceptibility mapping of the human brainK99EB035178 · NIBIB · STANFORD UNIVERSITY · PI WANG, NAN · 2024 to 2025
$207k
Rapid Fetal HASTE MR ImagingR03EB031175 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BILGIC, BERKIN · 2021 to 2022
$188k
NICHD NIH HHS R01 HD114719NIH HHS K99EB035178NIH HHS P41EB030006NIH HHS R01EB016695NIH HHS R01EB019437NIH HHS R01EB020613NIH HHS R01EB028797NIH HHS R01HD114719NIH HHS R01MH116173NIH HHS R03EB031175NIH HHS U01EB025162NIH HHS U01EB026996NIH HHS U24 NS129949NINDS NIH HHS U24 NS129949
6 · The paper itself

Abstract

purposeTo push the speed and resolution limit of in vivo quantitative imaging and enable estimation of quantitative tissue parameters of subtle brain structures that were previously difficult to assess.

methodsThis study implemented an efficient quantitative imaging approach, 3D-SPI MRF, on the NexGen 7T scanner equipped with a high-performance head-only gradient and 96-channel receiver array. To address challenges associated with performing rapid mesoscale MRF on this system, acquisition and reconstruction mitigation methods were developed and incorporated into the MRF framework, including: (i) flip-angle-aware dictionary fitting to account for both B

resultsWhole-brain T

conclusionTailored 3D MRF acquisition and reconstruction were developed to enable fast and accurate T

Indexed as

BrainImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingAlgorithmsAnimalsArtifactsHumansPhantoms, Imaginghigh fieldmesoscaleMRFquantitative mapping

Identifiers

PMID41472402
PMCPMC13110358

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.