Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 1: In vivo small-animal imaging

Ileana O Jelescu, Francesco Grussu, Andrada Ianus, Brian Hansen, Rachel L C Barrett, Manisha Aggarwal, Stijn Michielse, Fatima Nasrallah, Warda Syeda, Nian Wang, Jelle Veraart, Alard Roebroeck, Andrew F Bagdasarian, Cornelius Eichner, Farshid Sepehrband, Jan Zimmermann, Lucas Soustelle, Christien Bowman, Benjamin C Tendler, Andreea HertanuBen Jeurissen, Marleen Verhoye, Lucio Frydman, Yohan van de Looij, David Hike, Jeff F Dunn, Karla Miller, Bennett A Landman, Noam Shemesh, Adam Anderson, Emilie McKinnon, Shawna Farquharson, Flavio Dell'Acqua, Carlo Pierpaoli, Ivana Drobnjak, Alexander Leemans, Kevin D Harkins, Maxime Descoteaux, Duan Xu, Hao Huang, Mathieu D Santin, Samuel C Grant, Andre Obenaus, Gene S Kim, Dan Wu, Denis Le Bihan, Stephen J Blackband, Luisa Ciobanu, Els Fieremans, Ruiliang Bai, Trygve B Leergaard, Jiangyang Zhang, Tim B Dyrby, G Allan Johnson, Julien Cohen-Adad, Matthew D Budde, Kurt G Schilling

Research output: Contribution to journalReview articlepeer-review

1 Citation (Scopus)

Abstract

Small-animal diffusion MRI (dMRI) has been used for methodological development and validation, characterizing the biological basis of diffusion phenomena, and comparative anatomy. The steps from animal setup and monitoring, to acquisition, analysis, and interpretation are complex, with many decisions that may ultimately affect what questions can be answered using the resultant data. This work aims to present selected considerations and recommendations from the diffusion community on best practices for preclinical dMRI of in vivo animals. We describe the general considerations and foundational knowledge that must be considered when designing experiments. We briefly describe differences in animal species and disease models and discuss why some may be more or less appropriate for different studies. We, then, give recommendations for in vivo acquisition protocols, including decisions on hardware, animal preparation, and imaging sequences, followed by advice for data processing including preprocessing, model-fitting, and tractography. Finally, we provide an online resource that lists publicly available preclinical dMRI datasets and software packages to promote responsible and reproducible research. In each section, we attempt to provide guides and recommendations, but also highlight areas for which no guidelines exist (and why), and where future work should focus. Although we mainly cover the central nervous system (on which most preclinical dMRI studies are focused), we also provide, where possible and applicable, recommendations for other organs of interest. An overarching goal is to enhance the rigor and reproducibility of small animal dMRI acquisitions and analyses, and thereby advance biomedical knowledge.

Original languageEnglish
Pages (from-to)2507-2534
Number of pages28
JournalMagnetic Resonance in Medicine
Volume93
Issue number6
Early online date26 Feb 2025
DOIs
Publication statusE-pub ahead of print - 26 Feb 2025

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