Joint modelling of diffusion MRI and microscopy

Joint modelling of diffusion MRI and microscopy

The combination of diffusion MRI with microscopy provides unique opportunities to study microstructural features of tissue, particularly when acquired in the same sample. Microscopy is frequently used to validate diffusion MRI microstructure models, addressing the indirect nature of dMRI signals. Ty...

Descrizione completa

Dettagli Bibliografici
Autori principali:	Howard, A, Mollink, J, Kleinnijenhuis, M, Pallebage-Gamarallage, M, Bastiani, M, Cottaar, M, Miller, K, Jbabdi, S
Natura:	Journal article
Pubblicazione:	Elsevier 2019

Documenti analoghi

Diffusion MRI fibre orientation dispersion estimates evaluated with polarized light imaging and histological analysis
di: Mollink, J, et al.
Pubblicazione: (2017)

Evaluating fibre orientation dispersion in white matter: Comparison of diffusion MRI, histology and polarized light imaging.
di: Mollink, J, et al.
Pubblicazione: (2017)

An open resource combining multi-contrast MRI and microscopy in the macaque brain
di: Howard, AFD, et al.
Pubblicazione: (2023)

An automated pipeline for extracting histological stain area fraction for voxelwise quantitative MRI-histology comparisons
di: Kor, DZL, et al.
Pubblicazione: (2022)

Choice of reference measurements affects quantification of long diffusion time behaviour using stimulated echoes
di: Kleinnijenhuis, M, et al.
Pubblicazione: (2017)

Automated quality control for within and between studies diffusion MRI data using a non-parametric framework for movement and distortion correction
di: Bastiani, M, et al.
Pubblicazione: (2018)

Estimating axial diffusivity in the NODDI model
di: Howard, AF, et al.
Pubblicazione: (2022)

An open resource combining multi-contrast MRI and microscopy in the macaque brain
di: Amy F. D. Howard, et al.
Pubblicazione: (2023-07-01)

Dissecting the pathobiology of altered MRI signal in amyotrophic lateral sclerosis: A post mortem whole brain sampling strategy for the integration of ultra-high-field MRI and quantitative neuropathology
di: Pallebage-Gamarallage, M, et al.
Pubblicazione: (2018)

Modelling an equivalent b-value in diffusion-weighted steady-state free precession
di: Tendler, B, et al.
Pubblicazione: (2020)

Microstructure imaging with diffusion MRI and microscopy
di: Howard, A
Pubblicazione: (2020)

Dentatorubrothalamic tract localization with postmortem MR diffusion tractography compared to histological 3D reconstruction.
di: Mollink, J, et al.
Pubblicazione: (2015)

An automated pipeline for extracting histological stain area fraction for voxelwise quantitative MRI-histology comparisons
di: Daniel Z.L. Kor, et al.
Pubblicazione: (2022-12-01)

Estimating axial diffusivity in the NODDI model
di: Amy FD Howard, et al.
Pubblicazione: (2022-11-01)

Identifying microstructural changes in diffusion MRI; How to circumvent parameter degeneracy
di: Hossein Rafipoor, et al.
Pubblicazione: (2022-10-01)

Quantifying myelin in crossing fibers using diffusion-prepared phase imaging: theory and simulations
di: Cottaar, M, et al.
Pubblicazione: (2021)

White matter changes in the perforant path area in patients with amyotrophic lateral sclerosis
di: Mollink, J, et al.
Pubblicazione: (2019)

Modelling fibre fanning in diffusion-weighted MRI.
di: Sotiropoulos, SN, et al.
Pubblicazione: (2012)

Diffusion tensor characteristics of gyrencephaly using high resolution diffusion MRI in vivo at 7T.
di: Kleinnijenhuis, M, et al.
Pubblicazione: (2015)

Modelling white matter in gyral blades as a continuous vector field
di: Cottaar, M, et al.
Pubblicazione: (2020)

Dissecting the pathobiology of altered MRI signal in amyotrophic lateral sclerosis: A post mortem whole brain sampling strategy for the integration of ultra-high-field MRI and quantitative neuropathology
di: Menuka Pallebage-Gamarallage, et al.
Pubblicazione: (2018-03-01)

Methods for quantitative susceptibility and R2* mapping in whole post-mortem brains at 7T applied to amyotrophic lateral sclerosis
di: Wang, C, et al.
Pubblicazione: (2020)

Functional and diffusion MRI reveal the neurophysiological basis of neonates’ noxious-stimulus evoked brain activity
di: Baxter, L, et al.
Pubblicazione: (2021)

The spatial correspondence and genetic influence of interhemispheric connectivity with white matter microstructure
di: Mollink, J, et al.
Pubblicazione: (2019)

The spatial correspondence and genetic influence of interhemispheric connectivity with white matter microstructure
di: Mollink, J, et al.
Pubblicazione: (2019)

Tensor image registration library: Deformable registration of stand‐alone histology images to whole‐brain post‐mortem MRI data
di: Istvan N. Huszar, et al.
Pubblicazione: (2023-01-01)

A gyral coordinate system predictive of fibre orientations
di: Cottaar, M, et al.
Pubblicazione: (2018)

Use of multi-flip angle measurements to account for transmit inhomogeneity and non-Gaussian diffusion in DW-SSFP.
di: Tendler, BC, et al.
Pubblicazione: (2020)

Improved fibre dispersion estimation using b-tensor encoding
di: Cottaar, M, et al.
Pubblicazione: (2020)

Improved tractography using asymmetric fibre orientation distributions
di: Bastiani, M, et al.
Pubblicazione: (2017)

Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project
di: Bastiani, M, et al.
Pubblicazione: (2018)

Cross-Subject Comparison of Local Diffusion MRI Parameters
di: Smith, S, et al.
Pubblicazione: (2013)

Connectivity-based segmentation of the periaqueductal gray matter in human with brainstem optimized diffusion MRI.
di: Ezra, M, et al.
Pubblicazione: (2014)

Structure Tensor Informed Fiber Tractography (STIFT) by combining gradient echo MRI and diffusion weighted imaging.
di: Kleinnijenhuis, M, et al.
Pubblicazione: (2012)

A method to remove the influence of fixative concentration on postmortem T2 maps using a kinetic tensor model
di: Tendler, BC, et al.
Pubblicazione: (2021)

RubiX: combining spatial resolutions for Bayesian inference of crossing fibers in diffusion MRI.
di: Sotiropoulos, SN, et al.
Pubblicazione: (2013)

Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI.
di: Sotiropoulos, SN, et al.
Pubblicazione: (2012)

Human cortical connectome reconstruction from diffusion weighted MRI: the effect of tractography algorithm.
di: Bastiani, M, et al.
Pubblicazione: (2012)

Functional and diffusion MRI reveal the neurophysiological basis of neonates’ noxious-stimulus evoked brain activity
di: Luke Baxter, et al.
Pubblicazione: (2021-05-01)

Using GPUs to accelerate computational diffusion MRI: From microstructure estimation to tractography and connectomes
di: Hernandez-Fernandez, M, et al.
Pubblicazione: (2018)