UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

In Vivo Imaging of Tau Pathology Using Magnetic Resonance Imaging Textural Analysis

Colgan, N; Ganeshan, B; Harrison, IF; Ismail, O; Holmes, HE; Wells, JA; Powell, NM; ... Lythgoe, MF; + view all (2017) In Vivo Imaging of Tau Pathology Using Magnetic Resonance Imaging Textural Analysis. Frontiers in Neuroscience , 11 , Article 599. 10.3389/fnins.2017.00599. Green open access

[thumbnail of Published article]
Preview
Text (Published article)
Colgan_In_Vivo_Imaging.pdf - Published Version

Download (1MB) | Preview
[thumbnail of Supplementary table]
Preview
Text (Supplementary table)
Colgan_In_Vivo_Imaging_Suppl.pdf

Download (133kB) | Preview

Abstract

BACKGROUND: Non-invasive characterization of the pathological features of Alzheimer's disease (AD) could enhance patient management and the development of therapeutic strategies. Magnetic resonance imaging texture analysis (MRTA) has been used previously to extract texture descriptors from structural clinical scans in AD to determine cerebral tissue heterogeneity. In this study, we examined the potential of MRTA to specifically identify tau pathology in an AD mouse model and compared the MRTA metrics to histological measures of tau burden. METHODS: MRTA was applied to T2 weighted high-resolution MR images of nine 8.5-month-old rTg4510 tau pathology (TG) mice and 16 litter matched wild-type (WT) mice. MRTA comprised of the filtration-histogram technique, where the filtration step extracted and enhanced features of different sizes (fine, medium, and coarse texture scales), followed by quantification of texture using histogram analysis (mean gray level intensity, mean intensity, entropy, uniformity, skewness, standard-deviation, and kurtosis). MRTA was applied to manually segmented regions of interest (ROI) drawn within the cortex, hippocampus, and thalamus regions and the level of tau burden was assessed in equivalent regions using histology. RESULTS: Texture parameters were markedly different between WT and TG in the cortex (E, p < 0.01, K, p < 0.01), the hippocampus (K, p < 0.05) and in the thalamus (K, p < 0.01). In addition, we observed significant correlations between histological measurements of tau burden and kurtosis in the cortex, hippocampus and thalamus. CONCLUSIONS: MRTA successfully differentiated WT and TG in brain regions with varying degrees of tau pathology (cortex, hippocampus, and thalamus) based on T2 weighted MR images. Furthermore, the kurtosis measurement correlated with histological measures of tau burden. This initial study indicates that MRTA may have a role in the early diagnosis of AD and the assessment of tau pathology using routinely acquired structural MR images.

Type: Article
Title: In Vivo Imaging of Tau Pathology Using Magnetic Resonance Imaging Textural Analysis
Open access status: An open access version is available from UCL Discovery
DOI: 10.3389/fnins.2017.00599
Publisher version: https://doi.org/10.3389/fnins.2017.00599
Language: English
Additional information: Copyright © 2017 The authors. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Keywords: texture analysis, Alzheimer's Disease, MRTA, MRI imaging, tauopathies
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Experimental and Translational Medicine
URI: https://discovery.ucl.ac.uk/id/eprint/10036556
Downloads since deposit
156Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item