Bingham-NODDI: Mapping anisotropic orientation dispersion of neurites using diffusion MRI
- Submitting institution
-
University College London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 14085
- Type
- D - Journal article
- DOI
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10.1016/j.neuroimage.2016.01.046
- Title of journal
- Neuroimage
- Article number
- -
- First page
- 207
- Volume
- 133
- Issue
- -
- ISSN
- 1095-9572
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2016
- URL
-
-
- Supplementary information
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https://static-content.springer.com/esm/art%3A10.1038%2Fs41467-019-08667-3/MediaObjects/41467_2019_8667_MOESM1_ESM.pdf
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 63
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Describes a novel biophysical model for microstructure imaging from MRI data. It addresses a key limitation of NODDI, a widely-used model to map spatial arrangement of axons and dendrites in the central nervous system (CNS). The original model simplistically assumes isotropic dispersion, prohibiting the correct modelling of bending or spreading axons commonly observed in CNS. This is rectified with the proposed model, enabling a more accurate and informative depiction of CNS. Selected as podium presentation (top 1% of accepted submissions) at the premier international neuroimaging conference (OHBM). Adopted by the two most widely used neuroimaging software systems (FSL and DIPY).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -