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Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 3-Ex vivo
Kurt G Schilling1,2, Amy F D Howard3,4, Francesco Grussu5,6
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 covers image processing, data analysis, and comparisons with microscopy for enhanced tissue microstructure and connectivity studies.
Area of Science:
- Neuroimaging
- Biomedical Engineering
- Microscopy
Background:
- Preclinical diffusion MRI (dMRI) is valuable for methods development, biological characterization, and comparative anatomy.
- Ex vivo dMRI offers advantages like high spatial resolution, high signal-to-noise ratio (SNR), advanced diffusion contrasts, and direct histological validation.
- However, ex vivo dMRI presents unique challenges in tissue preparation, imaging, processing, and interpretation compared to in vivo studies.
Purpose of the Study:
- To provide a comprehensive set of recommendations and considerations for performing ex vivo dMRI on preclinical tissue.
- To outline best practices for image pre-processing, data processing, and comparisons with microscopy in ex vivo dMRI.
- To identify areas lacking established guidelines and suggest future research directions.
Main Methods:
- Review and synthesis of current practices in ex vivo dMRI for preclinical research.
- Focus on image pre-processing steps specific to ex vivo samples.
- Detailed discussion on data processing pipelines and comparison strategies with microscopy.
Main Results:
- Established guidelines for ex vivo dMRI image pre-processing and data analysis.
- Highlighted critical differences and considerations compared to in vivo dMRI protocols.
- Identified knowledge gaps and areas requiring further investigation in ex vivo dMRI methodology.
Conclusions:
- This work offers crucial guidance for optimizing ex vivo dMRI experiments in preclinical settings.
- Emphasizes the importance of standardized protocols for accurate tissue microstructure and connectivity analysis.
- Promotes data and code sharing through open-source platforms for advancing the field.
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