OSCR

Diffusion MRI experimental design optimization for microstructure imaging.

Overview

Authors: Hamza Farooq1, Yongxin Chen2, Ghulam Rasool3, Tryphon Georgiou4, Christophe Lenglet1
ORCID iDs: Hamza Farooq, Ghulam Rasool, Tryphon Georgiou, Christophe Lenglet
  1. Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN USA
  2. School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA USA
  3. Department of Machine Learning, Neuro-Oncology, Moffitt Cancer Center and Research Institute, Tampa, FL USA
  4. Department of Mechanical & Aerospace Engineering, University of California, Irvine, CA USA
Institutions: University of Minnesota (United States); Georgia Institute of Technology (United States); Moffitt Cancer Center (United States); University of California, Irvine (United States)
Journal: Communications biology, volume 9, issue 1, article 1057
Dates: received 6 June 2025; accepted 4 May 2026; published online 19 May 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s42003-026-10256-2 · PMID 42156573 · PMCID PMC13447819 · OpenAlex W7161642844
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: structural MRI / diffusion (modality), human (organism), computational (subfield)
Methods: fMRI & imaging
Keywords: Biophysical models, Data acquisition, Information theory, Image processing, White matter disease
MeSH: Brain*, Diffusion Magnetic Resonance Imaging*, Image Processing, Computer-Assisted*, Algorithms, Animals, Humans, Machine Learning (* major topic)
Topic: Advanced Neuroimaging Techniques and Applications (Radiology, Nuclear Medicine and Imaging, Medicine), according to OpenAlex
Funding: NINDS NIH HHS (U24 NS140384, UM1 NS132207); U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) (UM1 NS132207); U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (UM1 NS132207); NIBIB NIH HHS (P41 EB027061); U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (U24 NS140384); U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS) (U24 NS140384)
Citations: not cited yet (Europe PMC); 80 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

No file of the authors' code could be read here: it is described below, and read at its source.

downloads.cmrr.umn.edu/software

License: none: the authors keep all their rights
State: the link answers, verified on 28 September 2026
Evidence: the link answers
Software Heritage: not checked
Found in: “Data availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 28 September 2026: the link answers (HTTP 200)
  • 28 September 2026: the link answers (HTTP 200)
At the source: downloads.cmrr.umn.edu/software/

Code availability statement

The paper has a code availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1038/s42003-026-10256-2.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 0 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Code and data availability statement

The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1038/s42003-026-10256-2.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 5 keywords, 7 MeSH terms, 6 funders, 68 references.

Cite

This paper

Farooq, H., Chen, Y., Rasool, G., Georgiou, T., & Lenglet, C. (2026). Diffusion MRI experimental design optimization for microstructure imaging. Communications biology, 9(1), 1057. https://doi.org/10.1038/s42003-026-10256-2

BibTeX

@article{farooq2026diffusion,
author = {Farooq, Hamza and Chen, Yongxin and Rasool, Ghulam and Georgiou, Tryphon and Lenglet, Christophe},
title = {{Diffusion MRI experimental design optimization for microstructure imaging}},
journal = {Communications biology},
year = {2026},
month = may,
volume = {9},
number = {1},
pages = {1057},
publisher = {Nature Publishing Group},
issn = {2399-3642},
doi = {10.1038/s42003-026-10256-2},
url = {https://doi.org/10.1038/s42003-026-10256-2},
pmid = {42156573},
pmcid = {PMC13447819}
}

RIS

TY - JOUR
AU - Farooq, Hamza
AU - Chen, Yongxin
AU - Rasool, Ghulam
AU - Georgiou, Tryphon
AU - Lenglet, Christophe
TI - Diffusion MRI experimental design optimization for microstructure imaging
T2 - Communications biology
J2 - Commun Biol
PY - 2026
DA - 2026/05/19
VL - 9
IS - 1
SP - 1057
SN - 2399-3642
PB - Nature Publishing Group
DO - 10.1038/s42003-026-10256-2
UR - https://doi.org/10.1038/s42003-026-10256-2
LA - en
ER -

CSL-JSON

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The tracing map gets a citation of its own once an author has validated it and it has a DOI.

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