Joint modelling of diffusion MRI and microscopy
File(s) Joint modelling of diffusion MRI and microscopy.pdf (4.57 MB)
Published version
Author(s)
Howard, Amy FD
Mollink, Jeroen
Kleinnijenhuis, Michiel
Pallebage-Gamarallage, Menuka
Bastiani, Matteo
Type
Journal Article
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.
Date Issued
2019-11-01
Date Acceptance
2019-07-11
Citation
NeuroImage, 2019, 201
ISSN
1053-8119
Publisher
Elsevier
Journal / Book Title
NeuroImage
Volume
201
Copyright Statement
© 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). NeuroImage 201 (2019) 116014
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000487755700022&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
CONSTRAINED SPHERICAL DECONVOLUTION
Diffusion MRI
DISPERSION
FIBER ORIENTATION DISTRIBUTIONS
Fibre response function
FUSION
Histology
HUMAN CONNECTOME
Life Sciences & Biomedicine
Neuroimaging
Neurosciences
Neurosciences & Neurology
Orientation dispersion
Radiology, Nuclear Medicine & Medical Imaging
Science & Technology
TRACTOGRAPHY
VALIDATION
White matter
WHITE-MATTER
Publication Status
Published
Coverage Spatial
United States
Article Number
ARTN 116014
Date Publish Online
2019-07-14
