Evaluation of a 0.05 T low-field MRI system for canine brain imaging via comparison with images acquired at 1.5 T field strength: a pilot cadaver study.
Overview
- Division of Diagnostic Imaging, Department of Clinical Sciences, Utrecht University, Utrecht, the Netherlands
- IDEXX Telemedicine Consultants, Department of Radiology, Hoofddorp, the Netherlands
- C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
Abstract
Magnetic resonance imaging (MRI) systems continue to grow in number in veterinary and human medicine with higher field strength magnets increasingly available; however, the associated high costs have created healthcare inequities. This technical feasibility study aimed to evaluate a low-cost, portable, and permanent magnet-based 0.05 T low-field system (LF), originally designed for human neuroimaging, for assessing the canine brain. By using 23 canine cadavers, a scanning protocol was developed, consisting of transverse T1-weighted (T1w) and T2-weighted (T2w) sequences, and compared to a 1.5 T (HF) protocol for the visibility of 22 anatomical features. For the purpose of hydrocephalus evaluation, the LF system showed non-inferior detection of the lateral ventricles (LV) and mesencephalic aqueduct on T2w sequences with >90% conditional probability for detecting these features on the LF, given they were present on the HF. For T1w sequences, the LF system had inconclusive non-inferiority for detection of LV with 76.6% conditional probability. In summary, a canine brain scanning protocol was successfully developed for a 0.05 T MRI with preliminary evaluation suggestive that this device can aid with the detection of hydrocephalus. Future in vivo studies are required to evaluate the device's true clinical application.
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
The paper links to its data, not to its authors' code: see the Data section.
Tracing map
A tracing map links a paper to the code its authors published: this paper has none, so it has no map.
Data
Datasets cited
- figshare:33667694, at figshare; found in DataCite
- zenodo:18873835, at Zenodo; found in “Data availability statement”
Data availability statement
The low-field data supporting the findings of this study are openly available in Zenodo at https://
Reproduced under the paper's license (CC BY), from the paper cited above.
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, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 8 authors, 8 keywords, 9 MeSH terms, 8 funders, 44 references.
Cite
This paper
Burgers, E. M., Miles, S., Veraa, S., O'Reilly, T., van den Broek, R., Najac, C., Lena, B., & Webb, A. (2026). Evaluation of a 0.05 T low-field MRI system for canine brain imaging via comparison with images acquired at 1.5 T field strength: a pilot cadaver study. The veterinary quarterly, 46(1), 2720640. https://
BibTeX
@article{burgers2026eval
author = {Burgers, Elisabeth Maria and Miles, Samantha and Veraa, Stefanie and O'Reilly, Thomas and van den Broek, Ruben and Najac, Chloé and Lena, Beatrice and Webb, Andrew},
title = {{Evaluation of a 0.05 T low-field MRI system for canine brain imaging via comparison with images acquired at 1.5 T field strength: a pilot cadaver study}},
journal = {The veterinary quarterly},
year = {2026},
month = sep,
volume = {46},
number = {1},
pages = {2720640},
publisher = {Taylor \& Francis},
issn = {0165-2176},
doi = {10.1080/
url = {https://
pmid = {42730678},
pmcid = {PMC13573525}
}
RIS
TY - JOUR
AU - Burgers, Elisabeth Maria
AU - Miles, Samantha
AU - Veraa, Stefanie
AU - O'Reilly, Thomas
AU - van den Broek, Ruben
AU - Najac, Chloé
AU - Lena, Beatrice
AU - Webb, Andrew
TI - Evaluation of a 0.05 T low-field MRI system for canine brain imaging via comparison with images acquired at 1.5 T field strength: a pilot cadaver study
T2 - The veterinary quarterly
J2 - Vet Q
PY - 2026
DA - 2026/
VL - 46
IS - 1
SP - 2720640
SN - 0165-2176
PB - Taylor & Francis
DO - 10.1080/
UR - https://
LA - en
ER -
CSL-JSON
{
"id": "10.1080/
"type": "article-journal",
"title": "Evaluation of a 0.05 T low-field MRI system for canine brain imaging via comparison with images acquired at 1.5 T field strength: a pilot cadaver study",
"container-title": "The veterinary quarterly",
"author": [
{
"family": "Burgers",
"given": "Elisabeth Maria"
},
{
"family": "Miles",
"given": "Samantha"
},
{
"family": "Veraa",
"given": "Stefanie"
},
{
"family": "O'Reilly",
"given": "Thomas"
},
{
"family": "van den Broek",
"given": "Ruben"
},
{
"family": "Najac",
"given": "Chloé"
},
{
"family": "Lena",
"given": "Beatrice"
},
{
"family": "Webb",
"given": "Andrew"
}
],
"container-title-short":
"volume": "46",
"issue": "1",
"page": "2720640",
"DOI": "10.1080/
"PMID": "42730678",
"PMCID": "PMC13573525",
"ISSN": "0165-2176",
"publisher": "Taylor & Francis",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
[
2026,
9,
12
]
]
}
}
Similar papers
The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.
- [1] doi:10.1080/01652176.2026.2696026
- Canine brain imaging with a new low-field portable (0.05 T) MRI scanner: a pilot &
lt;i& gt;in vivo& lt;/ i& gt; comparison to conventional 1.5 T. Journal: The veterinary quarterlyIn common: other, structural MRI / diffusion, other condition, 28 references - [2] doi:10.1002/mrm.70407 [code]
- Time-Conditioned Zero-Shot Self-Supervised Reconstruction for Accelerated 3D Ultra-Low-Field MRI.Journal: Magnetic resonance in medicineIn common: structural MRI / diffusion, 3 references
- [3] doi:10.1002/mrm.70488 [code]
- Advancing the Volumetric Analysis of Ultra-Low-Field Brain MRI Using Image-to-Image Translation.Journal: Magnetic resonance in medicineIn common: structural MRI / diffusion, 2 references
- [4] doi:10.1016/j.isci.2026.116900 [code]
- Dog brain representations of human facial expressions: Encoding happiness and differentiating specific negative expressions.Journal: iScienceIn common: other, 1 reference
- [5] doi:10.1093/braincomms/fcag193 [code]
- Acute and longitudinal magnetic resonance imaging abnormalities in antibody-mediated encephalitis.Journal: Brain communicationsIn common: structural MRI / diffusion, other condition, 1 reference
- [6] doi:10.64898/2026.07.15.26357954 [code]
- Portable Ultra-Low Field MRI Deep-Learning Algorithms for White Matter Lesion Segmentation Improve Accuracy and Reflect Clinical Disability in Multiple SclerosisJournal: medRxiv (preprint)In common: structural MRI / diffusion, 1 reference
- [7] doi:10.1002/hbm.70547 [code]
- miniMORPH: A Morphometry Pipeline for Low-Field MRI in Infants.Journal: Human brain mappingIn common: structural MRI / diffusion, 1 reference
- [8] doi:10.1038/s41598-026-49678-7
- Clinical validation pipeline of a deep learning model for segmenting and quantifying intracranial and ventricular volumes on computed tomography.Journal: Scientific reportsIn common: structural MRI / diffusion, 1 reference
- [9] doi:10.3389/fnins.2026.1770672 [code]
- Multivariate age-related variations in quantitative MRI maps: widespread age-related differences revisited.Journal: Frontiers in neuroscienceIn common: structural MRI / diffusion, 1 reference
- [10] doi:10.1038/s41746-026-02651-0 [code]
- AI Augmented Confocal Laser Endomicroscopy for Rapid Intraoperative Diagnosis of Brain Tumors.Journal: NPJ digital medicineIn common: other condition, 1 reference
Contribute
The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.
Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.
Claim this paper
Correct its record
Say what each link of this record is, remove the ones that are not the paper's, add the ones that are missing. The correction becomes a new version of the record, in its Versions section.
Request its removal
To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).
Discussion, reproductions, activity
Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.
Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.
Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.
