ArticleFrontiers in neuroanatomy2016
Estimating Fiber Orientation Distribution Functions in 3D-Polarized Light Imaging.
Article in Frontiers in neuroanatomy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 72 citations in OpenAlex.
- What needs to be standardized for reliable, reproducible, and robust tractography?GigaScience · 2026Review
- Whole-brain reconstruction of fiber tracts based on cytoarchitectonic organization.Nature methods · 2025Article
- An algorithmic and software framework to incorporate orientation distribution functions in finite element simulations for biomechanics and biophysics.Acta biomaterialia · 2025Article
- Backscattering Mueller matrix polarimetry estimates microscale anisotropy and orientation in complex brain tissue structure.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Three-dimensional fiber orientation mapping of ex vivo human brain at micrometer resolution.Npj imaging · 2025Article
- A prominent vertical occipital white matter fasciculus unique to primate brains.Current biology : CB · 2024Article
- Evaluating backscattering polarized light imaging microstructural mapping capabilities through neural tissue and analogous phantom imaging.Journal of biomedical optics · 2024Article
- Fiber enhancement and 3D orientation analysis in label-free two-photon fluorescence microscopy.Scientific reports · 2023Article
- Using ex vivo arterial injection and dissection to assess white matter vascularization.Scientific reports · 2023Article
- Molecular biology of serotonergic systems in avian brains.Frontiers in molecular neuroscience · 2023Review
- A taxonomy of the brain's white matter: twenty-one major tracts for the 21st century.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Review
- The influence of regions of interest on tractography virtual dissection protocols: general principles to learn and to follow.Brain structure & function · 2022Article
- Additional fiber orientations in the sagittal stratum-noise or anatomical fine structure?Brain structure & function · 2022Article
- A Nonparametric Approach for Estimating Three-Dimensional Fiber Orientation Distribution Functions (ODFs) in Fibrous Materials.IEEE transactions on medical imaging · 2022Article
- An integrated method for color correction based on color constancy for early mural images in Mogao Grottoes.Frontiers in neuroscience · 2022Article
- Editorial: The human brain multiscale imaging challenge.Frontiers in neuroanatomy · 2022Article
- Synchrotron X-ray micro-CT as a validation dataset for diffusion MRI in whole mouse brain.Magnetic resonance in medicine · 2021Article
- Scattered Light Imaging: Resolving the substructure of nerve fiber crossings in whole brain sections with micrometer resolution.NeuroImage · 2021Article
- Autofluorescence enhancement for label-free imaging of myelinated fibers in mammalian brains.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Research of the human brain connectome requires multiscale approaches derived from independent imaging methods ideally applied to the same object. Hence, comprehensible strategies for data integration across modalities and across scales are essential. We have successfully established a concept to bridge the spatial scales from microscopic fiber orientation measurements based on 3D-Polarized Light Imaging (3D-PLI) to meso- or macroscopic dimensions. By creating orientation distribution functions (pliODFs) from high-resolution vector data via series expansion with spherical harmonics utilizing high performance computing and supercomputing technologies, data fusion with Diffusion Magnetic Resonance Imaging has become feasible, even for a large-scale dataset such as the human brain. Validation of our approach was done effectively by means of two types of datasets that were transferred from fiber orientation maps into pliODFs: simulated 3D-PLI data showing artificial, but clearly defined fiber patterns and real 3D-PLI data derived from sections through the human brain and the brain of a hooded seal.
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