Evidence map›Paper›PMID 39250435›Full record

ArticleMagnetic resonance in medicine2025

Spherical echo-planar time-resolved imaging (sEPTI) for rapid 3D quantitative

Nan Wang, Congyu Liao, Xiaozhi Cao, Mark Nishimura, Yannick W E Brackenier, Mahmut Yurt, Mengze Gao, Daniel Abraham, Cagan Alkan, Siddharth Srinivasan Iyer and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Self-calibrated BMagnetic resonance in medicine · 2026
    Article
  2. Article
  3. Review
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

15 authors.

Nan WangDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID 0000-0002-7616-8083
Congyu LiaoDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID 0000-0003-2270-276X
Xiaozhi CaoDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID 0000-0001-5095-648X
Mark NishimuraDepartment of Electrical Engineering, Stanford University, Stanford, California, USA.
Yannick W E BrackenierDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID 0000-0002-9210-5939
Mahmut YurtDepartment of Electrical Engineering, Stanford University, Stanford, California, USA.
Mengze GaoDepartment of Radiology, Stanford University, Stanford, California, USA.
Daniel AbrahamDepartment of Electrical Engineering, Stanford University, Stanford, California, USA.
Cagan AlkanDepartment of Electrical Engineering, Stanford University, Stanford, California, USA.
Siddharth Srinivasan IyerDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID 0000-0002-6432-0850
Zihan ZhouDepartment of Radiology, Stanford University, Stanford, California, USA.
Hwihun JeongSeoul National University, Seoul, South Korea.ORCID 0000-0002-5711-4290
Adam KerrDepartment of Electrical Engineering, Stanford University, Stanford, California, USA.
Justin P HaldarMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California, USA.ORCID 0000-0002-1838-0211
Kawin SetsompopDepartment of Radiology, Stanford University, Stanford, California, USA.

Funding

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
Advancing fMRI Acquisition through Dissemination of EPTI- An Efficient Distortion-Free Multi-Contrast Imaging TechnologyU24NS129893 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Fuyixue Wang · 2023 to 2026
$2.6M
An acquisition and reconstruction framework to enable mesoscale human fMRI on clinical 3 Tesla scannersR01EB033206 · NIBIB · STANFORD UNIVERSITY · PI SETSOMPOP, KAWIN · 2022 to 2022
$853k
Fast and robust quantitative MRI with tissue-susceptibility mapping of the human brainK99EB035178 · NIBIB · STANFORD UNIVERSITY · PI WANG, NAN · 2024 to 2025
$207k
National Institutes of Health (FNIH) P41EB030006National Institutes of Health (FNIH) R01EB019437National Institutes of Health (FNIH) R01EB033206National Institutes of Health (FNIH) R01MH116173National Institutes of Health (FNIH) U01EB025162National Institutes of Health (FNIH) U24NS129893NIBIB NIH HHS K99 EB035178NIBIB NIH HHS P41 EB030006NIBIB NIH HHS R01 EB019437NIBIB NIH HHS R01 EB033206NIBIB NIH HHS U01 EB025162NIMH NIH HHS R01 MH116173NINDS NIH HHS U24 NS129893
6 · The paper itself

Abstract

purposeTo develop a 3D spherical EPTI (sEPTI) acquisition and a comprehensive reconstruction pipeline for rapid high-quality whole-brain submillimeter

methodsFor the sEPTI acquisition, spherical k-space coverage is utilized with variable echo-spacing and maximum k

resultssEPTI achieved 1.4

conclusionsEPTI achieved whole-brain distortion-free multi-echo imaging and

Indexed as

AlgorithmsBrainEcho-Planar ImagingImaging, Three-DimensionalPhantoms, ImagingAdultArtifactsComputer SimulationFemaleHumansImage Processing, Computer-AssistedMaleReproducibility of ResultsSignal-To-Noise Ratioeddy current phase correctionfield inhomogeneity estimationspherical EPTI (sEPTI)submillimeter neuroimagingultrafast

Identifiers

PMID39250435
PMCPMC12212566

What OpenQuestion holds

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Registered trials

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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.