Evidence map›Paper›PMID 42482282›Full record

ArticleMagnetic resonance in medicine2026

Self-calibrated B

Mengze Gao, Xiaozhi Cao, Daniel Raz Abraham, Zihan Zhou, Nan Wang, Congyu Liao, Yang Yang, Hanlin Sun, Hongwei Li, Yan Bai and 4 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. 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

14 authors.

Mengze GaoDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0009-0001-8807-6004
Xiaozhi CaoDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0001-5095-648X
Daniel Raz AbrahamDepartment of Electrical Engineering, Stanford University, Stanford, California, USA.
Zihan ZhouDepartment of Radiology, Stanford University, Stanford, California, USA.
Nan WangDepartment of Radiology, Stanford University, Stanford, California, USA.
Congyu LiaoDepartment of Radiology, University of California San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0003-2270-276X
Yang YangDepartment of Radiology, University of California San Francisco, San Francisco, California, USA.
Hanlin SunDepartment of Radiology, The Third Hospital of Mianyang, Mianyang, Sichuan, China.
Hongwei LiDepartment of Radiology, The Third Hospital of Mianyang, Mianyang, Sichuan, China.
Yan BaiDepartment of Radiology, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Yu ShenDepartment of Radiology, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Yaping WuDepartment of Radiology, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Meiyun WangDepartment of Radiology, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Kawin SetsompopDepartment of Radiology, Stanford University, Stanford, California, USA.

Funding

Next generation in-vivo diffusion imaging at submillimeter resolutionR01MH116173 · NIMH · STANFORD UNIVERSITY · PI Yogesh Rathi, Kawin Setsompop · 2018 to 2026
$6.2M
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
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
NIH HHS R01EB033206NIH HHS R01HD114719NIH HHS R01MH116173
6 · The paper itself

Abstract

purposeTo develop SAFE, a self-calibrated framework to estimate B

methodsSAFE utilized a two-step approach. First, two physics-informed image markers are extracted from the MRF data to create a magnitude and a phase image that are highly correlated with B

resultsSAFE achieved normalized-root-mean-square-error within 3% against gold-standard field-calibration scans on both B

conclusionBy combining physics-informed image markers with DL, the proposed SAFE framework enables calibration-free estimation of B

Indexed as

BrainImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingAdultAlgorithmsCalibrationDeep LearningFemaleHealthy VolunteersHumansMaleMiddle AgedYoung Adultdeep learningfield inhomogeneityMR fingerprintingquantitative MRI

Identifiers

PMID42482282
PMCPMC13619842

What OpenQuestion holds

Textmetadata
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.