Evidence map›Paper›PMID 40016879›Full record

ArticleMagnetic resonance in medicine2025

High-resolution and high-fidelity diffusion tensor imaging of cervical spinal cord using 3D reduced-FOV multiplexed sensitivity encoding (3D-rFOV-MUSE).

Chenglang Yuan, Shihui Chen, Liyuan Liang, Xiaorui Xu, Hailin Xiong, Yi Li, Tianbaige Liu, Nan-Kuei Chen, Hing-Chiu Chang

Abstract read
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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 2 papers.

0numbers the graph read from it
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2citing papers in PubMed
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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

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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
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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Chenglang YuanDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Shihui ChenDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Liyuan LiangDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Xiaorui XuDepartment of Diagnostic Radiology, The University of Hong Kong, Hong Kong, China.
Hailin XiongDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Yi LiDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Tianbaige LiuDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Nan-Kuei ChenDepartment of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA.ORCID 0000-0001-6564-4219
Hing-Chiu ChangDepartment of Biomedical Engineering, The Chinese University of Hong Kong, Hong Kong, China.ORCID 0000-0001-8634-328X

Funding

Research Grant Council of Hong Kong ECS24213522Research Grant Council of Hong Kong GRF14206723Research Grant Council of Hong Kong GRF17106820Research Grant Council of Hong Kong GRF17125321
6 · The paper itself

Abstract

purposeTo develop a 3D isotropic high-resolution and high-fidelity cervical spinal cord DTI technique for addressing the current challenges existing in 2D cervical spinal cord DTI.

methodsA 3D multi-shot DWI acquisition and reconstruction technique was developed by combining 3D multiplexed sensitivity encoding (3D-MUSE) with two reduced FOV techniques, termed 3D-rFOV-MUSE, to acquire 3D cervical spinal cord DTI data using a sagittal thin slab. A self-referenced 2D ghost correction method and a 2D navigator-based inter-shot phase correction were integrated into the reconstruction framework to simultaneously eliminate Nyquist ghost and aliasing artifacts. Cardiac triggering was used during data acquisition to minimize the influence of cerebrospinal fluid pulsation. In vivo experiments were conducted on five healthy subjects at a 1.5 T MRI scanner for evaluating the feasibility of 3D cervical spinal cord DTI using 3D-rFOV-MUSE in terms of geometric fidelity, reconstruction performance, and SNR efficiency.

resultsA 3D-rFOV-MUSE can achieve high-resolution cervical spinal cord DTI at 1.0 mm isotropic resolution. The integration of reduced FOV and multi-shot acquisitions can improve the geometric fidelity of 3D cervical spinal cord DTI. Compared with routine 2D single-shot diffusion-weighed EPI (2D-ss-EPI), the proposed technique can mitigate through-plane partial volume effect and enable multi-planar data reformation for cervical spinal cord DTI, with effective reductions of distortions and improved signal-to-noise ratio.

conclusionWe demonstrated the feasibility of high-resolution and high-fidelity 3D cervical spinal cord DTI at 1.0 mm isotropic resolution using 3D-rFOV-MUSE technique, which may potentially improve the quantitative assessment of cervical spinal cord DTI biomarkers.

Indexed as

Cervical CordDiffusion Tensor ImagingImage Processing, Computer-AssistedImaging, Three-DimensionalSpinal CordAdultAlgorithmsArtifactsFemaleHealthy VolunteersHumansMaleSignal-To-Noise Ratio3D diffusion MRIcervical spinal corddiffusion tensor imaginghigh‐resolution DTImultiplexed sensitivity encodingMUSEreduced‐FOV

Identifiers

PMID40016879
PMCPMC12021329

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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.