Evidence map›Paper›PMID 42409901›Full record

ArticleScientific reports2026

Towards robot-assisted magnetic particle imaging for mobile point-of-care (neuro)vascular applications.

Matthias N van Oosterom, Aran van Welzen, Leon J Slof, Adriaan C G M van Es, Andrew G Webb, Stewart Bartlett, Aidan Cousins, Nyika D Kruyt, Jos H G M Haverkamp, Fijs W B van Leeuwen

Abstract read
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.

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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Matthias N van OosteromInterventional Molecular Imaging Laboratory, Leiden University Medical Center, Leiden, The Netherlands. m.n.van_oosterom@lumc.nl.
Aran van WelzenDesign and Prototyping, Department of Medical Technology, Leiden University Medical Centre, Leiden, The Netherlands.
Leon J SlofInterventional Molecular Imaging Laboratory, Leiden University Medical Center, Leiden, The Netherlands.
Adriaan C G M van EsDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Andrew G WebbDepartment of Radiology, C.J. Gorter MRI Center, Leiden University Medical Center, Leiden, The Netherlands.
Stewart BartlettFerronova Pty Ltd, Adelaide, Australia.
Aidan CousinsFerronova Pty Ltd, Adelaide, Australia.
Nyika D KruytDepartment of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
Jos H G M HaverkampDesign and Prototyping, Department of Medical Technology, Leiden University Medical Centre, Leiden, The Netherlands.
Fijs W B van LeeuwenInterventional Molecular Imaging Laboratory, Leiden University Medical Center, Leiden, The Netherlands.

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek NWO TTW 2023 21164
6 · The paper itself

Abstract

Rapid diagnosis, timely treatment, and continuous monitoring are essential for improving outcomes in neurovascular diseases (time=brain). Such point-of-care applications, however, require imaging to be conducted in dynamic and often confined spaces. While magnetic particle imaging (MPI) shows preclinical promise for fast (neuro)vascular imaging, it relies on complex and restricted imaging gantries. Here, we present a unique gantry-free robot-assisted MPI strategy (Robotic MPI) that is 'portable'. Using permanent magnets, Hall sensors and correction coils, we developed a single-sided detector with a detection threshold of ~ 5 µg iron-containing contrast agent at the detector surface. Robot-assisted positioning and pose tracking, combined with a dedicated maximum likelihood expectation-maximization-based reconstruction algorithm, translates detector signals into tomographic images with a spatial resolvability of 7 mm (visually evaluated at an imaging depth of ~ 5 mm). Surface imaging (SI) provided anatomical reference, delivering hybrid MPI/SI scans. Robotic-MPI's ability to visualize 3D (neuro)vasculature in a phantom model, highlights the system's potential for next-generation, portable vascular imaging solutions.

Indexed as

AmbulanceEmergency servicesMagneticsNeurovascular imagingParamedicRobotic imagingStroke

Identifiers

PMID42409901
PMCPMC13638471

What OpenQuestion holds

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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.