Evidence map›Paper›PMID 38895252›Full record

ArticlebioRxiv : the preprint server for biology2024

Time-division multiplexing (TDM) sequence removes bias in T2 estimation and relaxation-diffusion measurements.

Qiang Liu, Borjan Gagoski, Imam Ahmed Shaik, Carl-Fredrik Westin, Elisabeth A Wilde, Walter Schneider, Berkin Bilgic, William Grissom, Jon-Fredrik Nielsen, Maxim Zaitsev and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

12 authors.

Qiang LiuBrigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Borjan GagoskiDepartment of Radiology, Harvard Medical School, Boston, MA, United States.
Imam Ahmed ShaikBrigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Carl-Fredrik WestinBrigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Elisabeth A WildeVa Salt Lake City Health Care System, Informatics, Decision-Enhancement and Analytic Sciences Center, Salt Lake City, Utah, USA.
Walter SchneiderUniversity of Pittsburgh, USA.
Berkin BilgicDepartment of Radiology, Harvard Medical School, Boston, MA, United States.
William GrissomDepartment of Biomedical Engineering, Case School of Medicine, Case Western Reserve University, Cleveland, OH, United States.
Jon-Fredrik NielsenFunctional MRI Laboratory, Department of Radiology, University of Michigan, Ann Arbor, MI, United States.
Maxim ZaitsevDivision of Medical Physics, Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Yogesh RathiBrigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
Lipeng NingBrigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.

Funding

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
Quantitative Glioblastoma Margin and Infiltration Mapping with Advanced Diffusion-Relaxation MRIR01NS125781 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI ALEXANDRA J GOLBY, Carl-Fredrik Westin · 2022 to 2026
$3.6M
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
Joint structural-and-functional MRI analysis for predicting electroconvulsive therapy response in major depressive disorderK01MH117346 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI NING, LIPENG · 2019 to 2023
$916k
Real-time visualization and precision targeting in transcranial magnetic stimulationR21MH126396 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI NING, LIPENG · 2021 to 2022
$493k
NIBIB NIH HHS R01 EB032378NIMH NIH HHS K01 MH117346NIMH NIH HHS R01 MH116173NIMH NIH HHS R01 MH125860NIMH NIH HHS R21 MH126396NINDS NIH HHS R01 NS125781
6 · The paper itself

Abstract

Purpose: To compare the performance of multi-echo (ME) and time-division multiplexing (TDM) sequences for accelerated relaxation-diffusion MRI (rdMRI) acquisition and to examine their reliability in estimating accurate rdMRI microstructure measures. Method: The ME, TDM, and the reference single-echo (SE) sequences with six echo times (TE) were implemented using Pulseq with single-band (SB-) and multi-band 2 (MB2-) acceleration factors. On a diffusion phantom, the image intensities of the three sequences were compared, and the differences were quantified using the normalized root mean squared error (NRMSE). For the in-vivo brain scan, besides the image intensity comparison and T2-estimates, different methods were used to assess sequence-related effects on microstructure estimation, including the relaxation diffusion imaging moment (REDIM) and the maximum-entropy relaxation diffusion distribution (MaxEnt-RDD). Results: TDM performance was similar to the gold standard SE acquisition, whereas ME showed greater biases (3-4× larger NRMSEs for phantom, 2× for in-vivo). T2 values obtained from TDM closely matched SE, whereas ME sequences underestimated the T2 relaxation time. TDM provided similar diffusion and relaxation parameters as SE using REDIM, whereas SB-ME exhibited a 60% larger bias in the <R Conclusion: Our analysis demonstrates that TDM provides a more accurate estimation of relaxation-diffusion measurements while accelerating the acquisitions by a factor of 2 to 3.

Indexed as

DiffusiondMRImultidimensional MRIPulseqrdMRIrelaxometry

Identifiers

PMID38895252
PMCPMC11185580

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.