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Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 2-Ex vivo
Kurt G Schilling1,2, Francesco Grussu3,4, Andrada Ianus5,6
1Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
This study provides best practices for ex vivo diffusion MRI (dMRI) in preclinical research. It details considerations for tissue preparation, image acquisition, and analysis to improve rigor and reproducibility in dMRI studies.
Area of Science:
- Preclinical research
- Neuroscience
- Biomedical imaging
Background:
- Diffusion MRI (dMRI) is valuable for in vivo tissue characterization.
- Ex vivo dMRI offers advantages like higher SNR, spatial resolution, and direct comparison with histology.
- Performing ex vivo dMRI requires careful consideration of tissue preparation, acquisition, and processing.
Purpose of the Study:
- To provide best practices and guidelines for ex vivo diffusion MRI (dMRI) in preclinical settings.
- To highlight the advantages and considerations specific to ex vivo dMRI experiments.
- To enhance the rigor and reproducibility of ex vivo dMRI acquisitions and analyses.
Main Methods:
- Review and synthesis of existing knowledge and practices for ex vivo dMRI.
- Discussion of specimen differences and model appropriateness for studies.
- Guidelines for ex vivo protocols including tissue fixation, sample preparation, and MR scanning.
Main Results:
- Identification of experimental advantages of ex vivo dMRI, including higher SNR and resolution.
- Detailed considerations for tissue preparation, image acquisition, and data interpretation.
- Highlighting areas lacking established guidelines and suggesting future research directions.
Conclusions:
- Ex vivo dMRI is a powerful tool for probing tissue microstructure and brain connectivity.
- Standardized best practices are crucial for advancing biomedical knowledge through reproducible ex vivo dMRI.
- Further research is needed to address existing gaps in ex vivo dMRI methodology.
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