Evidence map›Paper›PMID 41946234›Full record

ArticleMedical image analysis2026

PRIME: Phase reversed interleaved multi-Echo acquisition enables highly accelerated distortion-corrected diffusion MRI.

Yohan Jun, Qiang Liu, Ting Gong, Jaejin Cho, Shohei Fujita, Xingwang Yong, Congyu Liao, Marianna E Schmidt, Shahin Nasr, Camilo Jaimes and 6 more

Abstract read
In one paragraph

Article in Medical image analysis, 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. Combined ADC and TMagnetic resonance in medicine · 2026
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Yohan JunAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Department of Radiology, Harvard Medical School, Boston, MA, United States; Pediatric Imaging Research Center, Massachusetts General Hospital, Boston, MA, United States. Electronic address: yjun@mgh.harvard.edu.
Qiang LiuBrigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, United States.
Ting GongAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Department of Radiology, Harvard Medical School, Boston, MA, United States.
Jaejin ChoDepartment of Artificial Intelligence and Robotics, Sejong University, Seoul, Korea.
Shohei FujitaAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Department of Radiology, Harvard Medical School, Boston, MA, United States.
Xingwang YongAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Department of Radiology, Harvard Medical School, Boston, MA, United States; Zhejiang University, Hangzhou, China.
Congyu LiaoDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States.
Marianna E SchmidtMax Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; Max Planck School of Cognition, Leipzig, Germany.
Shahin NasrAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Department of Radiology, Harvard Medical School, Boston, MA, United States.
Camilo JaimesDepartment of Radiology, Harvard Medical School, Boston, MA, United States; Pediatric Imaging Research Center, Massachusetts General Hospital, Boston, MA, United States; Department of Radiology, Massachusetts General Hospital, Boston, MA, United States.
Michael S GeeDepartment of Radiology, Harvard Medical School, Boston, MA, United States; Pediatric Imaging Research Center, Massachusetts General Hospital, Boston, MA, United States; Department of Radiology, Massachusetts General Hospital, Boston, MA, United States.
Susie Y HuangAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Department of Radiology, Harvard Medical School, Boston, MA, United States; MIT Health Sciences and Technology, Harvard Cambridge, MA, United States.
Lipeng NingPediatric Imaging Research Center, Massachusetts General Hospital, Boston, MA, United States; Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, United States.
Anastasia YendikiAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Department of Radiology, Harvard Medical School, Boston, MA, United States.
Yogesh RathiDepartment of Radiology, Harvard Medical School, Boston, MA, United States; Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, United States; Department of Radiology, Brigham and Women's Hospital, Boston, MA, United States.
Berkin BilgicAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; Department of Radiology, Harvard Medical School, Boston, MA, United States; MIT Health Sciences and Technology, Harvard Cambridge, MA, United States.

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
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang, BRUCE R ROSEN · 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
Mapping the superficial white matter connectome of the human brain using ultra high resolution multi-contrast diffusion MRIR01MH125860 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI MAKRIS, NIKOLAOS, O'DONNELL, LAUREN JEAN · 2021 to 2025
$4.1M
Applications of high resolution fMRI in ultra-high field (7T) in revealing developmental disorders underlying amblyopiaR01EY030434 · NEI · MASSACHUSETTS GENERAL HOSPITAL · PI Shahin Nasr · 2020 to 2026
$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
Harmonizing data acquisition, reconstruction, and analysis for reproducible, cross-vendor, open source MRIR01EB032378 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI BILGIC, BERKIN, RATHI, YOGESH · 2022 to 2025
$2.7M
Mapping of the intrinsic and extrinsic cerebellar connectome at ultra high resolution with expert neuroanatomical curationR01MH132610 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI MAKRIS, NIKOLAOS, O'DONNELL, LAUREN JEAN · 2023 to 2025
$2.6M
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
Hybrid TMS/MRI system for regionally tailored causal mapping of human cortical circuits and connectivityUG3EB034875 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI BILGIC, BERKIN, HUANG, SUSIE YI · 2023 to 2024
$837k
Rapid, Motion-Robust, and Low-Gadolinium MRI for Pediatric Brain TumorsR21EB036105 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI JAIMES COBOS, CAMILO, JUN, YOHAN · 2024 to 2024
$668k
Submillimeter resolution diffusion MRI of the medial temporal lobe in the earliest stages of Alzheimer's diseaseR21AG082377 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI BILGIC, BERKIN, HUANG, SUSIE YI · 2024 to 2025
$459k
National Research Foundation of Korea (NRF) grant RS-2025-00555277NEI NIH HHS R01 EY030434NIA NIH HHS R21 AG082377NIBIB NIH HHS P41 EB030006NIBIB NIH HHS R01 EB028797NIBIB NIH HHS R01 EB032378NIBIB NIH HHS R21 EB036105NIBIB NIH HHS U01 EB026996NIBIB NIH HHS UG3 EB034875NICHD NIH HHS R01 HD114719NIMH NIH HHS R01 MH116173NIMH NIH HHS R01 MH125860NIMH NIH HHS R01 MH132610
6 · The paper itself

Abstract

High-resolution diffusion MRI (dMRI) is often constrained by the fundamental trade-off between geometric distortion, signal-to-noise ratio (SNR), and scan efficiency. The purpose of this study is to develop and evaluate a new pulse sequence for highly accelerated distortion-corrected dMRI by inserting additional echoes without prolonging TR, when generalized slice dithered enhanced resolution (gSlider) radiofrequency encoding is used for volumetric acquisition. A phase-reversed interleaved multi-echo acquisition (PRIME) was developed for rapid, high-resolution, and distortion-corrected dMRI, which includes multiple echoes where the first echo is for target diffusion-weighted imaging (DWI) acquisition with high-resolution and additional echoes are acquired with either lower resolution for 1) high-fidelity field map estimation, 2) phase navigation for shot-to-shot phase correction, 3) motion navigation across diffusion directions, or with high resolution to enable 4) high-fidelity diffusion relaxometry acquisitions. The sequence was evaluated on in vivo data acquired from healthy volunteers on clinical and Connectome 2.0 scanners. In vivo experiments demonstrated that 1) high in-plane acceleration was achieved using the high-fidelity field maps estimated from the second echo, which was made at a lower resolution/acceleration to increase its SNR while matching the effective echo spacing of the first readout, 2) high-resolution diffusion relaxometry parameters were estimated from triple-echo PRIME data using a white matter model of multi-TE spherical mean technique (MTE-SMT), and 3) high-fidelity mesoscale DWI at 490 µm isotropic resolution was obtained in vivo by capitalizing on the high-performance gradients of the Connectome 2.0 scanner. The proposed PRIME sequence enabled highly accelerated, high-resolution, and distortion-corrected dMRI using additional echoes without prolonging scan time when gSlider encoding is utilized.

Indexed as

BrainDiffusion Magnetic Resonance ImagingImage EnhancementImage Interpretation, Computer-AssistedAlgorithmsArtifactsHumansReproducibility of ResultsSensitivity and SpecificitySignal-To-Noise RatioDiffusion MRIDiffusion relaxometryDistortion correctionField mapMesoscale

Identifiers

PMID41946234
PMCPMC13619350

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.