In Vivo Imaging of Tau Pathology Using Magnetic Resonance Imaging Textural Analysis
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 clini...
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Published in | Frontiers in neuroscience Vol. 11; p. 599 |
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Main Authors | , , , , , , , , , , , , , , |
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06.11.2017
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Abstract | 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.
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.
Texture parameters were markedly different between WT and TG in the cortex (E,
< 0.01, K,
< 0.01), the hippocampus (K,
< 0.05) and in the thalamus (K,
< 0.01). In addition, we observed significant correlations between histological measurements of tau burden and kurtosis in the cortex, hippocampus and thalamus.
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. |
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AbstractList | 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. 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.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. 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. 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 sixteen 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 grey level intensity (mean intensity, entropy, uniformity, skewness, standard-deviation and kurtosis). MRTA was applied to manually segmented regions of interest 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. 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. 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. Texture parameters were markedly different between WT and TG in the cortex (E, < 0.01, K, < 0.01), the hippocampus (K, < 0.05) and in the thalamus (K, < 0.01). In addition, we observed significant correlations between histological measurements of tau burden and kurtosis in the cortex, hippocampus and thalamus. 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. |
Author | Holmes, Holly E. Johnson, Ross A. Wells, Jack A. O'Callaghan, James M. Colgan, Niall Powell, Nick M. Ganeshan, Balaji Groves, Ashley Collins, Emily C. Lythgoe, Mark F. O'Neill, Michael J. Murray, Tracey K. Ismail, Ozama Harrison, Ian F. Ahmed, Zeshan |
AuthorAffiliation | 2 School of Physics, National University of Ireland Galway , Galway , Ireland 5 Eli Lilly & Co. Ltd., Lilly Corporate Center , Indianapolis, IN , United States 3 Institute of Nuclear Medicine, University College London Hospitals , London , United Kingdom 1 Division of Medicine, UCL Centre for Advanced Biomedical Imaging, University College London , London , United Kingdom 4 Eli Lilly & Co. Ltd. , Windlesham , United Kingdom |
AuthorAffiliation_xml | – name: 4 Eli Lilly & Co. Ltd. , Windlesham , United Kingdom – name: 1 Division of Medicine, UCL Centre for Advanced Biomedical Imaging, University College London , London , United Kingdom – name: 5 Eli Lilly & Co. Ltd., Lilly Corporate Center , Indianapolis, IN , United States – name: 2 School of Physics, National University of Ireland Galway , Galway , Ireland – name: 3 Institute of Nuclear Medicine, University College London Hospitals , London , United Kingdom |
Author_xml | – sequence: 1 givenname: Niall surname: Colgan fullname: Colgan, Niall – sequence: 2 givenname: Balaji surname: Ganeshan fullname: Ganeshan, Balaji – sequence: 3 givenname: Ian F. surname: Harrison fullname: Harrison, Ian F. – sequence: 4 givenname: Ozama surname: Ismail fullname: Ismail, Ozama – sequence: 5 givenname: Holly E. surname: Holmes fullname: Holmes, Holly E. – sequence: 6 givenname: Jack A. surname: Wells fullname: Wells, Jack A. – sequence: 7 givenname: Nick M. surname: Powell fullname: Powell, Nick M. – sequence: 8 givenname: James M. surname: O'Callaghan fullname: O'Callaghan, James M. – sequence: 9 givenname: Michael J. surname: O'Neill fullname: O'Neill, Michael J. – sequence: 10 givenname: Tracey K. surname: Murray fullname: Murray, Tracey K. – sequence: 11 givenname: Zeshan surname: Ahmed fullname: Ahmed, Zeshan – sequence: 12 givenname: Emily C. surname: Collins fullname: Collins, Emily C. – sequence: 13 givenname: Ross A. surname: Johnson fullname: Johnson, Ross A. – sequence: 14 givenname: Ashley surname: Groves fullname: Groves, Ashley – sequence: 15 givenname: Mark F. surname: Lythgoe fullname: Lythgoe, Mark F. |
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Copyright | 2017. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright © 2017 Colgan, Ganeshan, Harrison, Ismail, Holmes, Wells, Powell, O'Callaghan, O'Neill, Murray, Ahmed, Collins, Johnson, Groves and Lythgoe. 2017 Colgan, Ganeshan, Harrison, Ismail, Holmes, Wells, Powell, O'Callaghan, O'Neill, Murray, Ahmed, Collins, Johnson, Groves and Lythgoe |
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Keywords | tauopathies MRI imaging Alzheimer's Disease MRTA texture analysis |
Language | English |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 These authors have contributed equally to this work as Joint first author. This article was submitted to Brain Imaging Methods, a section of the journal Frontiers in Neuroscience These authors have contributed equally to this work as Joint senior author. Reviewed by: Frithjof Kruggel, University of California, Irvine, United States; Felix Carbonell, Biospective Inc., Canada Edited by: Pedro Antonio Valdes-Sosa, Joint China-Cuba Laboratory for Frontier Research in Translational Neurotechnology, China |
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SubjectTerms | Alzheimer's Disease Animal cognition Autism Cognitive ability Entropy Filtration Hippocampus Histology Magnetic resonance imaging MRI imaging MRTA Neuroimaging Neuroscience NMR Nuclear magnetic resonance Pathology Schizophrenia Studies Tau protein tauopathies texture analysis Thalamus University colleges |
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Title | In Vivo Imaging of Tau Pathology Using Magnetic Resonance Imaging Textural Analysis |
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