Evidence map›Paper›PMID 40065541›Full record

ArticleMagnetic resonance in medicine2025

High-resolution, volumetric diffusion-weighted MR spectroscopic imaging of the brain.

Zepeng Wang, Bradley P Sutton, Fan Lam

Abstract read
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Zepeng WangDepartment of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.ORCID 0000-0001-8877-5270
Bradley P SuttonDepartment of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.ORCID 0000-0002-8443-0408
Fan LamDepartment of Bioengineering, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.ORCID 0000-0002-4124-0663

Funding

Towards In Vivo Imaging of Tissue MetabolomicsR35GM142969 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Fan Lam · 2021 to 2026
$2.4M
A New J-Resolved MRSI Framework for Whole-Brain Simultaneous Metabolite and Neurotransmitter MappingR21EB029076 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI LAM, FAN · 2020 to 2020
$566k
National Science Foundation, Bioengineering, Environmental, and Transport Systems NIH-NIGMS-5R35GM142969National Science Foundation, Bioengineering, Environmental, and Transport Systems NSF-CBET-1944249NIBIB NIH HHS NIH-NIBIB-1R21EB029076NIBIB NIH HHS R21 EB029076NIGMS NIH HHS R35 GM142969
6 · The paper itself

Abstract

purposeTo achieve high-resolution, three-dimensional (3D) quantitative diffusion-weighted MR spectroscopic imaging (DW-MRSI) for molecule-specific microstructural imaging of the brain.

methodsWe introduced and integrated several innovative acquisition and processing strategies for DW-MRSI: (a) a new double-spin-echo sequence combining selective excitation, bipolar diffusion encoding, rapid spatiospectral sampling, interleaved water spectroscopic imaging data, and a special sparsely sampled echo-volume-imaging (EVI)-based navigator, (b) a rank-constrained time-resolved reconstruction from the EVI data to capture spatially varying phases, (c) a model-based phase correction for DW-MRSI data, and (d) a multi-b-value subspace-based method for water/lipids removal and spatiospectral reconstruction using learned metabolite subspaces, and e) a hybrid subspace and parametric model-based parameter estimation strategy. Phantom and in vivo experiments were performed to validate the proposed method and demonstrate its ability to map metabolite-specific diffusion parameters in 3D.

resultsThe proposed method generated reproducible metabolite diffusion coefficient estimates, consistent with those from a standard single-voxel DW spectroscopy (SV-DWS) method. High-SNR multi-molecular mean diffusivity (MD) maps can be obtained at a 6.9

conclusionWe demonstrated an unprecedented capability of simultaneous, high-resolution metabolite and diffusion parameter mapping. This imaging capability has strong potential to offer richer molecular and tissue-compartment-specific microstructural information for various clinical and neuroscience applications.

Indexed as

BrainDiffusion Magnetic Resonance ImagingImaging, Three-DimensionalAlgorithmsHumansImage Processing, Computer-AssistedMagnetic Resonance SpectroscopyPhantoms, ImagingDW‐MRSImicrostructural imagingMRSIneuroimagingquantitative imagingsubspace imaging

Identifiers

PMID40065541
PMCPMC12137791

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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.