Related Experiment Video
Updated: Jul 12, 2026

07:13
Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities
Published on: October 27, 2023
A Novel Marker-Based Registration Method for Simultaneous Preclinical PET/MR with a Non-Stationary PET Detector
Leo Marecki1,2,3, Suyog Pol2,3, Pawel Markiewicz4,5,6
1Department of Biomedical Engineering, University at Buffalo, State University of New York, Buffalo, NY 14260, USA.
Research Square
|July 10, 2026
Summary
We developed an automated method to precisely align positron emission tomography (PET) and magnetic resonance imaging (MRI) scans from small, moving preclinical scanners. This technique ensures accurate image registration for advanced preclinical research.
Area of Science:
- Medical Imaging
- Preclinical Research
- Biomedical Engineering
Background:
- Simultaneous PET-MRI offers synergistic insights in preclinical research.
- Registering images from small, non-stationary preclinical PET scanners to MRI is challenging.
- Existing methods struggle with limited space and detector movement.
Purpose of the Study:
- To create a fully automated, marker-based method for PET-MRI registration.
- To address registration challenges in small, non-stationary preclinical PET systems.
- To achieve sub-voxel precision in simultaneous PET-MRI.
Main Methods:
- Developed a nose cone tract with MRI-visible geometric markers.
- Utilized zero-echo-time MRI for marker visibility.
- Implemented a universal calibration and an experiment-specific calibration.
- Evaluated method robustness through systematic experiments.
Main Results:
- Achieved successful registration of PET and MRI modalities.
- Demonstrated spatial registration error below the PET voxel size.
- Validated the method's effectiveness in challenging preclinical setups.
Conclusions:
- The proposed method provides practical, sub-voxel precision PET-MRI registration.
- It is suitable for non-stationary PET devices with limited internal space.
- Enables accurate multimodal imaging in demanding preclinical applications.

