Evidence map›Paper›PMID 42427875›Full record

ArticleResearch square2026

A Novel Marker-Based Registration Method for Simultaneous Preclinical PET/MR with a Non-Stationary PET Detector.

Leo Marecki, Suyog Pol, Pawel Markiewicz, Robert Zivadinov, Ferdinand Schweser

Abstract readPreprint
In one paragraph

Article in Research square, 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

5 authors.

Leo MareckiDepartment of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, NY 14260, USA.
Suyog PolBuffalo Neuroimaging Analysis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.
Pawel MarkiewiczSchool of Computer Science and Digital Technologies, LSBU, London, UK.
Robert ZivadinovBuffalo Neuroimaging Analysis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.
Ferdinand SchweserBuffalo Neuroimaging Analysis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.

Funding

University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
Acquisition of High Performance Data and Computing Infrastructure to Advance Biomedical ResearchS10OD024973 · OD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI FURLANI, THOMAS · 2019 to 2019
$1.0M
NCATS NIH HHS UL1 TR001412NIH HHS S10 OD024973
6 · The paper itself

Abstract

Purpose: To develop a novel, fully automated marker-based method for registering PET images from a small, non-stationary, retrofitted preclinical PET detector to simultaneously acquired MRI images. Methods: We manufactured a nose cone tract with geometric markers from a material visible when imaged with a zero-echo-time MRI sequence. A one-time universal calibration determined the relation between the PET image space and the nose cone tract markers. An experiment-specific calibration was needed to determine the location of the nose cone tract markers in laboratory space, and, hence, in MRI image space. The robustness of the method was evaluated through systematic experiments. Results: Experiments demonstrated successful registration of the two imaging modalities with a spatial registration error below the PET voxel size. Conclusion: The proposed registration approach is a practical method for registering simultaneously acquired PET and MR images with sub-voxel precision when the PET device is non-stationary and the usable space inside the detector is too small for dual-modality fiducial markers.

Identifiers

PMID42427875
PMCPMC13345538

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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.