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Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Multimodal Cross-Device and Marker-Free Co-Registration of Preclinical Imaging Modalities

Published on: October 27, 2023

Mouse atlas registration with non-tomographic imaging modalities-a pilot study based on simulation.

Hongkai Wang¹, David B Stout, Arion F Chatziioannou

¹Crump Institute of Molecular Imaging, David Geffen School of Medicine, UCLA, Los Angeles, CA, USA. wang.hongkai@gmail.com

Molecular Imaging and Biology

|October 11, 2011

Summary

Researchers developed methods to estimate small animal anatomy using non-tomographic imaging. Combining top-view X-ray and side-view optical imaging best registered a digital mouse atlas for 3D anatomical references.

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Area of Science:

Biomedical imaging
Small animal research
Anatomical modeling

Background:

Accurate 3D anatomical references are crucial for preclinical research.
Non-tomographic imaging modalities offer cost-effective alternatives to CT/MRI.
Integrating multiple non-tomographic data sources presents a challenge for anatomical reconstruction.

Purpose of the Study:

To investigate methodologies for estimating small animal anatomy from non-tomographic modalities.
To register a digital mouse atlas to combined non-tomographic imaging data for 3D anatomical references.
To evaluate the accuracy of different combinations of non-tomographic modalities for anatomical estimation.

Main Methods:

Developed a 2D/3D registration method to align a 3D digital mouse atlas with non-tomographic imaging data.
Simulated eleven combinations using planar X-ray projections, optical cameras, and surface scanners.
Evaluated the registration accuracy for each combination across various organs.

Main Results:

The combination of top-view X-ray projection and side-view optical camera demonstrated the highest overall registration accuracy for most organs.
Incorporating surface scanner data significantly improved registration accuracy for specific organs like skin, spleen, and kidneys.
Different modality combinations showed varying performance depending on the anatomical region.

Conclusions:

The proposed methodologies provide a framework for accurate 3D anatomical estimation in small animals using non-tomographic imaging.
The findings guide the design of efficient preclinical data acquisition systems for atlas-based anatomical studies.
This approach facilitates the development of more precise anatomical atlases for research applications.