Evidence map›Paper›PMID 42487005›Full record

ArticleScientific reports2026

Overcoming pitfalls in multi-stack diffusion MRI for tractography reconstruction of skeletal muscles.

Manuela Zimmer, Geoffrey Handsfield, Paul Condron, Samantha Holdsworth, Flavio Dell'Acqua, Filiz Ateş

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In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Manuela ZimmerExperimental Biomechanics Group, Institute of Structural Mechanics and Dynamics in Aerospace Engineering, University of Stuttgart, Pfaffenwaldring 27, 70569, Stuttgart, Germany. manuela.zimmer@isd.uni-stuttgart.de.ORCID 0000-0003-2405-863X
Geoffrey HandsfieldAuckland Bioengineering Institute, The University of Auckland, 70 Symonds Street, Auckland, 1010, New Zealand.
Paul CondronDepartment of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences & Centre for Brain Research, University of Auckland, 85 Park Road, Auckland, 1023, New Zealand.
Samantha HoldsworthDepartment of Anatomy and Medical Imaging, Faculty of Medical and Health Sciences & Centre for Brain Research, University of Auckland, 85 Park Road, Auckland, 1023, New Zealand.
Flavio Dell'AcquaNeuroimaging and Biophysics Lab (NBL), Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, 16 De Crespigny Park, London, SE5 8AF, UK.
Filiz AteşExperimental Biomechanics Group, Institute of Structural Mechanics and Dynamics in Aerospace Engineering, University of Stuttgart, Pfaffenwaldring 27, 70569, Stuttgart, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate in vivo characterization of skeletal muscle structure is essential for understanding muscle function, assessing pathologies, and developing musculoskeletal models. Magnetic resonance imaging (MRI) and diffusion MRI enable visualization of muscle morphology and fibre architecture in vivo, but imaging skeletal muscles often requires an extended field of view. At large distances from the magnet isocentre, gradient non-linearities and magnetic field inhomogeneities can cause severe image distortions. Here, we present multi-stack structural and diffusion-tensor echo-planar images of the lower limb using selected stack lengths and acquisition parameters to provide realistic examples. Geometric distortions, fractional anisotropy maps, and tractography-reconstructed fibre tracts are used to demonstrate anatomical plausibility and consistency across overlapping slices. In the presented examples, pronounced distortions, compromised fat suppression, and fibre reconstruction errors are observed under off-isocentre imaging conditions. While shorter stack lengths may help reduce distortions, our examples also indicate that factors such as shimming strategy, participant positioning, and post-processing can influence image quality. Our work highlights key pitfalls in muscle diffusion MRI, providing practical guidance grounded in MRI physics to support the design of multi-stack MRI protocols. These considerations support more reliable multi-stack diffusion MRI for musculoskeletal research and biomechanical modelling.

Indexed as

Diffusion Magnetic Resonance ImagingDiffusion Tensor ImagingImage Processing, Computer-AssistedMuscle, SkeletalEcho-Planar ImagingHumansDiffusion tensor imagingMagnetic resonance imagingMuscle fibre reconstructionSkeletal muscle anatomyTractography

Identifiers

PMID42487005
PMCPMC13392244

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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.