Recommendations and guidelines from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 2 -- Ex vivo imaging

27 Sep 2022  ·  Kurt G Schilling, 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 Hertanu, Ben Jeurissen, 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 Leergaard, Jiangyang Zhang, Tim B Dyrby, G Allan Johnson, Julien Cohen-Adad, Matthew D Budde, Ileana O Jelescu ·

The value of preclinical diffusion MRI (dMRI) is substantial. While dMRI enables in vivo non-invasive characterization of tissue, ex vivo dMRI is increasingly being used to probe tissue microstructure and brain connectivity. Ex vivo dMRI has several experimental advantages including higher signal-to-noise ratio and spatial resolution compared to in vivo studies, and more advanced diffusion contrasts for improved microstructure and connectivity characterization. Another major advantage is direct comparison with histological data as a crucial methodological validation. However, there are a number of considerations that must be made when performing ex vivo experiments. The steps from tissue preparation, image acquisition and processing, and interpretation of results are complex, with many decisions that not only differ dramatically from in vivo imaging, but ultimately affect what questions can be answered using the data. This work represents 'Part 2' of a series of recommendations and considerations for preclinical dMRI, where we focus on best practices for dMRI of ex vivo tissue. We first describe the value that ex vivo imaging adds to the field of dMRI, followed by general considerations and foundational knowledge that must be considered when designing experiments. We then give guidelines for ex vivo protocols, including tissue preparation, imaging sequences and data processing including pre-processing, model-fitting, and tractography. Finally, we provide an online resource which lists publicly available ex vivo dMRI datasets and dedicated software packages. In each section, we attempt to provide guidelines and recommendations, but also highlight areas for which no guidelines exist, and where future work should lie. An overarching goal herein is to enhance the rigor and reproducibility of ex vivo dMRI acquisitions and analyses, and thereby advance biomedical knowledge.

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Medical Physics Tissues and Organs