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Updated: Jul 16, 2026

Noninvasive In Vivo Small Animal MRI and MRS: Basic Experimental Procedures
Published on: October 20, 2009
Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 1: In
Ileana O Jelescu1,2, Francesco Grussu3,4, Andrada Ianus5,6
1Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
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.
Insights
This study provides best practice recommendations for small-animal diffusion MRI (dMRI) to improve experimental rigor and reproducibility. It covers experimental design, in vivo acquisition protocols, and data processing for preclinical dMRI research.
Area of Science:
- Biomedical Imaging
- Neuroscience
- Comparative Anatomy
Background:
- Small-animal diffusion MRI (dMRI) is crucial for methodological development, biological characterization, and comparative anatomy.
- Preclinical dMRI involves complex steps from setup to interpretation, influencing research outcomes.
- Lack of standardized best practices hinders rigor and reproducibility in small-animal dMRI studies.
Purpose of the Study:
- To present expert recommendations on best practices for preclinical in vivo small-animal dMRI.
- To guide researchers in experimental design, acquisition, and data processing for enhanced reproducibility.
- To promote responsible research by providing resources for publicly available datasets and software.
Main Methods:
- Review and synthesis of community-derived best practices for preclinical dMRI.
- Discussion of species and disease model considerations for experimental design.
- Recommendations for in vivo acquisition protocols (hardware, preparation, sequences) and data processing (preprocessing, model-fitting, tractography).
Main Results:
- Detailed considerations and recommendations for designing and conducting small-animal dMRI experiments.
- Guidance on selecting appropriate animal models and optimizing imaging parameters.
- Identification of areas lacking guidelines, highlighting future research directions.
Conclusions:
- Adherence to recommended best practices will enhance the rigor and reproducibility of small-animal dMRI.
- Standardized protocols and accessible resources are vital for advancing biomedical knowledge using preclinical dMRI.
- This work serves as a foundational guide for researchers in the field, promoting consistent and reliable findings.
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