ArticleNMR in biomedicine2023
Tissue optimization strategies for high-quality ex vivo diffusion imaging.
Article in NMR in biomedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 2-Ex vivo imaging: Added value and acquisition.Magnetic resonance in medicine · 2025Guideline
- The Impact of Gadolinium on Quantitative Myelin Metrics in Ex Vivo Spinal Cord.NMR in biomedicine · 2026Article
- Development and assessment of anImaging science in dentistry · 2026Article
- Ultrahigh-resolution 7-Tesla anatomic magnetic resonance imaging and diffusion tensor imaging ofFrontiers in human neuroscience · 2024Article
- Mapping mesoscale connectivity within the human hippocampus.NeuroImage · 2023Article
- Tissue optimization strategies for high-quality ex vivo diffusion imaging.NMR in biomedicine · 2023Article
- Differentiation of white matter histopathology using b-tensor encoding and machine learning.PloS one · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Ex vivo diffusion imaging can be used to study healthy and pathological tissue microstructure in the rodent brain with high resolution, providing a link between in vivo MRI and ex vivo microscopy techniques. Major challenges for the successful acquisition of ex vivo diffusion imaging data however are changes in the relaxivity and diffusivity of brain tissue following perfusion fixation. In this study we address this question by examining the combined effects of tissue preparation factors that influence signal-to-noise ratio (SNR) and consequently image quality, including fixative concentration, contrast agent concentration and tissue rehydration time. We present an optimization strategy combining these factors to manipulate the
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