[HTML][HTML] Imaging brain tumour microstructure

M Nilsson, E Englund, F Szczepankiewicz… - Neuroimage, 2018 - Elsevier
Imaging is an indispensable tool for brain tumour diagnosis, surgical planning, and follow-
up. Definite diagnosis, however, often demands histopathological analysis of microscopic …

[PDF][PDF] Mapping orientational and microstructural metrics of neuronal integrity with in vivo diffusion MRI

DS Novikov, J Veraart, IO Jelescu… - arXiv preprint arXiv …, 2016 - researchgate.net
Diagnosis of brain disorders is hindered by the lack of an imaging technique that reveals the
architecture of neuronal tissue at the cellular level, where the associated pathological …

Validation strategies for the interpretation of microstructure imaging using diffusion MRI

TB Dyrby, GM Innocenti, M Bech, H Lundell - Neuroimage, 2018 - Elsevier
Extracting microanatomical information beyond the image resolution of MRI would provide
valuable tools for diagnostics and neuroscientific research. A number of mathematical …

[HTML][HTML] The sensitivity of diffusion MRI to microstructural properties and experimental factors

M Afzali, T Pieciak, S Newman, E Garyfallidis… - Journal of Neuroscience …, 2021 - Elsevier
Diffusion MRI is a non-invasive technique to study brain microstructure. Differences in the
microstructural properties of tissue, including size and anisotropy, can be represented in the …

Realistic microstructure simulator (RMS): Monte Carlo simulations of diffusion in three-dimensional cell segmentations of microscopy images

HH Lee, E Fieremans, DS Novikov - Journal of neuroscience methods, 2021 - Elsevier
Abstract Background Monte Carlo simulations of diffusion are commonly used as a model
validation tool as they are especially suitable for generating the diffusion MRI signal in …

[HTML][HTML] Probing brain tissue microstructure with MRI: principles, challenges, and the role of multidimensional diffusion-relaxation encoding

B Lampinen, F Szczepankiewicz, J Lätt, L Knutsson… - NeuroImage, 2023 - Elsevier
Diffusion MRI uses the random displacement of water molecules to sensitize the signal to
brain microstructure and to properties such as the density and shape of cells. Microstructure …

[HTML][HTML] Challenges for biophysical modeling of microstructure

IO Jelescu, M Palombo, F Bagnato… - Journal of Neuroscience …, 2020 - Elsevier
The biophysical modeling efforts in diffusion MRI have grown considerably over the past 25
years. In this review, we dwell on the various challenges along the journey of bringing a …

Ex vivo diffusion MRI of the human brain: Technical challenges and recent advances

A Roebroeck, KL Miller, M Aggarwal - NMR in Biomedicine, 2019 - Wiley Online Library
This review discusses ex vivo diffusion magnetic resonance imaging (dMRI) as an important
research tool for neuroanatomical investigations and the validation of in vivo dMRI …

[HTML][HTML] The Dmipy toolbox: diffusion MRI multi-compartment modeling and microstructure recovery made easy

RHJ Fick, D Wassermann, R Deriche - Frontiers in neuroinformatics, 2019 - frontiersin.org
Non-invasive estimation of brain microstructure features using diffusion MRI (dMRI)—known
as Microstructure Imaging—has become an increasingly diverse and complicated field over …

[HTML][HTML] Robust and fast Markov chain Monte Carlo sampling of diffusion MRI microstructure models

RL Harms, A Roebroeck - Frontiers in neuroinformatics, 2018 - frontiersin.org
In diffusion MRI analysis, advances in biophysical multi-compartment modeling have gained
popularity over the conventional Diffusion Tensor Imaging (DTI), because they can obtain a …