Post-Doctoral Researcher in Diffusion MRI
Combining diffusion MRI and microscopy to probe tissue microstructure
What can we learn from highly detailed microscopy images that can help us infer brain connectivity in vivo? My research considers different ways in which we can combine complementary data from both microscopy and diffusion MRI, to both validate and drive biophysical modelling of the brain tissue microstructure.
Recently, our focus has been on collecting an extensive dataset, the BigMac dataset, which combines ultra-HARDI and microscopy (polarised light imaging and histology) data from the same, single brain. This dataset will provide an open access platform to interconnect microstructural features with MR signals throughout the brain.
At FMRIB, my research spans both the physics and analysis groups and is co-supervised by Profs Karla Miller & Saad Jbabdi.
- In vivo & postmortem MRI
- Diffusion MRI connectivity & microstructure imaging
- Biophysical modelling & model validation
- Light microscopy: polarised light imaging & histological staining
- Quantitative analysis of histology (structure tensor analysis & cell segmentation)
- MRI-microscopy co-registration
- Data fusion / joint analysis of MRI and microscopy (e.g. hybrid tractography)
Estimating axial diffusivity in the NODDI model.
Howard AF. et al, (2022), Neuroimage, 262
Post mortem mapping of connectional anatomy for the validation of diffusion MRI.
Yendiki A. et al, (2022), Neuroimage, 256
The Digital Brain Bank, an open access platform for post-mortem imaging datasets.
Tendler BC. et al, (2022), Elife, 11
Toward next-generation primate neuroscience: A collaboration-based strategic plan for integrative neuroimaging
Milham M. et al, (2021), Neuron
Joint modelling of diffusion MRI and microscopy
Howard AFD. et al, (2019)
- FMRIB Physics Research
- FMRIB Analysis Research
Oxford-Nottingham Biomedical Imaging (ONBI)
Centre for Doctoral Training