Joint modelling of diffusion MRI and microscopy

Howard, Amy F.D.; Mollink, Jeroen; Kleinnijenhuis, Michiel; Pallebage-Gamarallage, Menuka; Bastiani, Matteo; Cottaar, Michiel; Miller, Karla L.; Jbabdi, Saad

Abstract

The combination of diffusion MRI (dMRI) with microscopy provides unique opportunities to study microstructural features of tissue, particularly when acquired in the same sample. Microscopy is frequently used to validate dMRI microstructure models, addressing the indirect nature of dMRI signals. Typically, these modalities are analysed separately, and microscopy is taken as a gold standard against which dMRI-derived parameters are validated. Here we propose an alternative approach in which we combine dMRI and microscopy data obtained from the same tissue sample to drive a single, joint model. This simultaneous analysis allows us to take advantage of the breadth of information provided by complementary data acquired from different modalities. By applying this framework to a spherical-deconvolution analysis, we are able to overcome a known degeneracy between fibre dispersion and radial diffusion. Spherical-deconvolution based approaches typically estimate a global fibre response function to determine the fibre orientation distribution in each voxel. However, the assumption of a ‘brain-wide’ fibre response function may be challenged if the diffusion characteristics of white matter vary across the brain. Using a generative joint dMRI-histology model, we demonstrate that the fibre response function is dependent on local anatomy, and that current spherical-deconvolution based models may be overestimating dispersion and underestimating the number of distinct fibre populations per voxel.

Citation

Howard, A. F., Mollink, J., Kleinnijenhuis, M., Pallebage-Gamarallage, M., Bastiani, M., Cottaar, M., …Jbabdi, S. (2019). Joint modelling of diffusion MRI and microscopy. NeuroImage, 201, Article 116014. https://doi.org/10.1016/j.neuroimage.2019.116014

• Journal Article Type: Article
• Acceptance Date: Jul 11, 2019
• Online Publication Date: Jul 14, 2019
• Publication Date: Nov 1, 2019
• Deposit Date: Jul 31, 2019
• Publicly Available Date: Aug 23, 2019
• Journal: NeuroImage
• Print ISSN: 1053-8119
• Electronic ISSN: 1095-9572
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 201
• Article Number: 116014
• DOI: https://doi.org/10.1016/j.neuroimage.2019.116014
• Keywords: Diffusion MRI; Histology; White matter; Fibre response function; Orientation dispersion
• Public URL: https://nottingham-repository.worktribe.com/output/2362891
• Publisher URL: https://www.sciencedirect.com/science/article/pii/S1053811919305956