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Recommendations and guidelines from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 1 -- In vivo small-animal imaging

Authors :
Jelescu, Ileana O
Grussu, Francesco
Ianus, Andrada
Hansen, Brian
Barrett, Rachel L C
Aggarwal, Manisha
Michielse, Stijn
Nasrallah, Fatima
Syeda, Warda
Wang, Nian
Veraart, Jelle
Roebroeck, Alard
Bagdasarian, Andrew F
Eichner, Cornelius
Sepehrband, Farshid
Zimmermann, Jan
Soustelle, Lucas
Bowman, Christien
Tendler, Benjamin C
Hertanu, Andreea
Jeurissen, Ben
Verhoye, Marleen
Frydman, Lucio
van de Looij, Yohan
Hike, David
Dunn, Jeff F
Miller, Karla
Landman, Bennett A
Shemesh, Noam
Anderson, Adam
McKinnon, Emilie
Farquharson, Shawna
Acqua, Flavio Dell'
Pierpaoli, Carlo
Drobnjak, Ivana
Leemans, Alexander
Harkins, Kevin D
Descoteaux, Maxime
Xu, Duan
Huang, Hao
Santin, Mathieu D
Grant, Samuel C.
Obenaus, Andre
Kim, Gene S
Wu, Dan
Bihan, Denis Le
Blackband, Stephen J
Ciobanu, Luisa
Fieremans, Els
Bai, Ruiliang
Leergaard, Trygve B
Zhang, Jiangyang
Dyrby, Tim B
Johnson, G Allan
Cohen-Adad, Julien
Budde, Matthew D
Schilling, Kurt G
Publication Year :
2022

Abstract

The value of in vivo preclinical diffusion MRI (dMRI) is substantial. Small-animal dMRI has been used for methodological development and validation, characterizing the biological basis of diffusion phenomena, and comparative anatomy. Many of the influential works in this field were first performed in small animals or ex vivo samples. 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 recommendations and guidelines 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 guidelines for in vivo acquisition protocols, including decisions on hardware, animal preparation, and imaging sequences, followed by advice for data processing including pre-processing, model-fitting, and tractography. Finally, we provide an online resource which 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. An overarching goal herein is to enhance the rigor and reproducibility of small animal dMRI acquisitions and analyses, and thereby advance biomedical knowledge.<br />Comment: 45 pages, 5 figures, 1 table

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2209.12994
Document Type :
Working Paper