Examining brain microstructure using structure tensor analysis of histological sections

Budde, Matthew D.; Frank, Joseph A.

doi:10.1016/j.neuroimage.2012.06.042

Cited by 151 publications

(183 citation statements)

References 42 publications

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“…(Chenevert et al, 2000;Assaf et al, 2008;Jespersen et al, 2010;Xu et al, 2014;Sepehrband et al, 2015;Szczepankiewicz et al, 2016)). Additionally, combined analyses of histology and dMRI have been performed to further understand the development of certain diseases and the healthy brain (Budde and Frank, 2012;Kolasinski et al, 2012;Khan et al, 2016;Mollink et al, 2017). Information from histology can also help developing realistic in silico biomimetic phantoms of brain tissue (Cook et al, 2006;Beltrachini et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Local volume fraction distributions of axons, astrocytes, and myelin in deep subcortical white matter

et al. 2018

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Article:Coelho, S. orcid.org/0000-0002-1039-4803, Pozo, J.M., Costantini, M. et This study aims to statistically describe histologically stained white matter brain sections to subsequently inform and validate diffusion MRI techniques. For the first time, we characterise volume fraction distributions of three of the main structures in deep subcortical white matter (axons, astrocytes, and myelinated axons) in a representative cohort of an ageing population for which well-characterized neuropathology data is available. We analysed a set of samples from 90 subjects of the Cognitive Function and Ageing Study (CFAS), stratified into three groups of 30 subjects each, in relation to the presence of age-associated deep subcortical lesions. This provides volume fraction distributions in different scenarios relevant to brain diffusion MRI in dementia. We also assess statistically significant differences found between these groups. In agreement with previous literature, our results indicate that white matter lesions are related with a decrease in the myelinated axons fraction and an increase in astrocytic fraction, while no statistically significant changes occur in axonal mean fraction. In addition, we introduced a framework to quantify volume fraction distributions from 2D immunohistochemistry images, which is validated against in silico simulations. Since a trade-off between precision and resolution emerged, we also performed an assessment of the optimal scale for computing such distributions.

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Section: Introductionmentioning

confidence: 99%

Local volume fraction distributions of axons, astrocytes, and myelin in deep subcortical white matter

et al. 2018

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“…Brains were immersed in susceptibilitymatching fluid (Fomblin; Solvay Solexis, Inc., West Deptford, NJ) and inserted into a radiofrequency coil 3 cm in diameter. A three-echo diffusion-weighted spin echo sequence was employed (TR 5 4 s; TE 5 20 ms (first echo; 7.5 ms echo spacing) to acquire diffusion-weighted images (b 5 1200 s/mm 2 ) along 30 directions 51 with diffusion gradient duration (d) and separation (D) of 4 and 10 ms, respectively, along with 5 non diffusion-weighted images 52 . The slice thickness was 0.5 mm with an inplane resolution of 0.234 mm 2 and a 30 mm 2 field of view (128 2 matrix).…”

Section: Discussionmentioning

confidence: 99%

Combined Effects of Primary and Tertiary Blast on Rat Brain: Characterization of a Model of Blast-induced Mild Traumatic Brain Injury

Long¹

2014

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“…γ s is the wavelet basis function in scale s. Gabor wavelet is used as wavelet basis function based on the method of Shoudong Han et al [7].…”

Section: Structure Tensormentioning

confidence: 99%

“…In the past 30 years, it has been successfully applied in many fields such as image recovery [4], frequency and ridge estimation [5], texture analysis [6] and image processing in neural biology field [7]. In this paper, in order to develop multiscale structure tensor, Hessian matrix is constructed using Gabor wavelet and nonlinear diffusion filter is used to reduce the noise.…”

Section: Introductionmentioning

confidence: 99%

OBIA on Coastal Landform Based on Structure Tensor

Sun¹,

Liu²,

Zhou³

2016

Computer Science &Amp; Information Technology ( CS &Amp; IT )

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Examining brain microstructure using structure tensor analysis of histological sections

Cited by 151 publications

References 42 publications

Local volume fraction distributions of axons, astrocytes, and myelin in deep subcortical white matter

Local volume fraction distributions of axons, astrocytes, and myelin in deep subcortical white matter

Combined Effects of Primary and Tertiary Blast on Rat Brain: Characterization of a Model of Blast-induced Mild Traumatic Brain Injury

OBIA on Coastal Landform Based on Structure Tensor

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