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Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities

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Published on: October 27, 2023

Reconfigurable animal bed-EPR resonator assembly for multimodal co-registration.

Oxana Tseytlin¹, Michael Sestito², Timothy D Eubank³

¹Department of Biochemistry and Molecular Medicine, West Virginia University, Morgantown, WV, USA; In Vivo Multifunctional Magnetic Resonance Center at Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, WV, USA.

Journal of Magnetic Resonance (San Diego, Calif. : 1997)

|November 30, 2025

Summary

A new modular animal bed-resonator assembly (ABRA) platform enables stable, multimodal preclinical imaging by co-registering electron paramagnetic resonance imaging (EPRI) and magnetic resonance imaging (MRI). Its adaptable design and coaxial cable construction ensure critical coupling for deep-organ imaging in disease models.

Keywords:

Computational efficiency EPR imaging Oximetry Rapid scan EPR Spectral-spatial imaging

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Area of Science:

Biomedical Engineering
Preclinical Imaging
Medical Physics

Background:

Multimodal imaging combining Electron Paramagnetic Resonance Imaging (EPRI) and Magnetic Resonance Imaging (MRI) offers enhanced diagnostic capabilities for preclinical research.
Achieving stable EPRI, especially for deep-lying organs in small animal models, presents challenges related to maintaining critical coupling under high excitation power.

Purpose of the Study:

To develop and validate a modular animal bed-resonator assembly (ABRA) platform for seamless multimodal co-registration of EPRI and MRI.
To enhance the stability and sensitivity of EPRI for deep-organ imaging in small animal disease models.

Main Methods:

A reconfigurable, "Lego-style" ABRA platform with a 3D-printed bed compatible with 1T MRI systems was designed.
Advanced rapid-scan (RS) EPRI technology was employed, with EPR resonators and coupling loops constructed from coaxial cable segments to minimize electrical interference.
Fiducial markers integrated into the bed facilitated automated spatial alignment between EPRI and MRI datasets using MATLAB-based image processing.

Main Results:

The ABRA platform demonstrated effortless exchange and repositioning of components, supporting a wide frequency range and critical coupling conditions.
Coaxial cable construction and shielding ensured stable data acquisition by confining the electric field and minimizing interactions with the animal.
Successful in vivo evaluation of tuning and coupling performance was conducted in mice, with imaging results and co-registration performance reported.

Conclusions:

The modular ABRA platform provides a versatile and stable solution for multimodal EPRI-MRI co-registration in preclinical research.
The design facilitates imaging of deep-lying organs in small animal models, addressing key limitations of current EPRI systems.
The system's replicability with minimal engineering expertise makes it accessible for broader laboratory adoption.