ArticleNMR in biomedicine2019
Histologically derived fiber response functions for diffusion MRI vary across white matter fibers-An ex vivo validation study in the squirrel monkey brain.
Article in NMR in biomedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 28 citations in OpenAlex.
- SKUF Protocol: Slice, Keep, Unwrap, Fuse-A Pilot Multimodal Approach to Cardiac Innervation Mapping.Diagnostics (Basel, Switzerland) · 2026Article
- Validation of structure tensor analysis for orientation estimation in brain tissue microscopy.Journal of neuroscience methods · 2025Article
- Precise MRI-Histology Coregistration of Paraffin-Embedded Tissue with Blockface Imaging.bioRxiv : the preprint server for biology · 2025Article
- Validation of Structure Tensor Analysis for Orientation Estimation in Brain Tissue Microscopy.bioRxiv : the preprint server for biology · 2025Article
- Precise MRI-histology coregistration of paraffin-embedded tissue with blockface imaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- White Matter Tract Crossing and Bottleneck Regions in the Fetal Brain.Human brain mapping · 2025Article
- Local response function estimation in spherical deconvolution for comprehensive tissue representation using diffusion MRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Diffusion MRI approaches for investigating microstructural complexity in a rat model of traumatic brain injury.Scientific reports · 2023Article
- White matter connectometry in patients with disorders of consciousness revealed by 7-Tesla magnetic resonance imaging.Brain imaging and behavior · 2022Article
- Prevalence of white matter pathways coming into a single white matter voxel orientation: The bottleneck issue in tractography.Human brain mapping · 2022Article
- Review
- Fiber orientation distribution from diffusion MRI: Effects of inaccurate response function calibration.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2021Article
- Design and characterization of a 3D-printed axon-mimetic phantom for diffusion MRI.Magnetic resonance in medicine · 2021Article
- Joint modelling of diffusion MRI and microscopy.NeuroImage · 2019Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Understanding the relationship between the diffusion-weighted MRI signal and the arrangement of white matter fibers is fundamental for accurate voxel-wise reconstruction of the fiber orientation distribution (FOD) and subsequent fiber tractography. Spherical deconvolution reconstruction techniques model the diffusion signal as the convolution of the FOD with a response function that represents the signal profile of a single fiber orientation. Thus, given the signal and a fiber response function, the FOD can be estimated in every imaging voxel by deconvolution. However, the selection of the appropriate response function remains relatively under-studied, and requires further validation. In this work, using 3D histologically defined FODs and the corresponding diffusion signal from three ex vivo squirrel monkey brains, we derive the ground truth response functions. We find that the histologically derived response functions differ from those conventionally used. Next, we find that response functions statistically vary across brain regions, which suggests that the practice of using the same kernel throughout the brain is not optimal. We show that different kernels lead to different FOD reconstructions, which in turn can lead to different tractography results depending on algorithmic parameters, with large variations in the accuracy of resulting reconstructions. Together, these results suggest there is room for improvement in estimating and understanding the relationship between the diffusion signal and the underlying FOD.
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