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Pathological Correlates Of Magnetic Resonance Imaging Texture Heterogeneity In Multiple Sclerosis
Y. Zhang, G. R. Wayne Moore, C. Laule, Thorarin A. Bjarnason, P. Kozlowski, A. Traboulsee, David K. B. Li
Published 2013 · Medicine
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To analyze the texture of T2‐weighted magnetic resonance imaging (MRI) of postmortem multiple sclerosis (MS) brain, and to determine whether and how MRI texture correlates with tissue pathology.
This paper references
Texture analysis of medical images.
G. Castellano (2004)
MR Multi-Spectral Texture Analysis Using Space-Frequency Information
Hongmei Zhu (2004)
Localization of the complex spectrum: the S transform
R. G. Stockwell (1996)
Role of MRI in diagnosis and treatment of multiple sclerosis
M. A. Sahraian (2010)
Prospects for early detection of Alzheimer's disease from serial MR images in transgenic mice.
M. Muskulus (2009)
Multiscale amplitudemodulation frequency-modulation (AM-FM) texture analysis of multiple sclerosis in brain MRI images
CP Loizou (2010)
MRI texture analysis in multiple sclerosis: toward a clinical analysis protocol.
Lara Harrison (2010)
Remyelination in the CNS: from biology to therapy
R. Franklin (2008)
Correlations between changes in disability and T2‐weighted brain MRI activity in multiple sclerosis
M. Filippi (1995)
The Use of Magnetic Resonance Imaging to Noninvasively Detect Genetic Signatures in Oligodendroglioma
R. Brown (2008)
Myelin water imaging in multiple sclerosis: quantitative correlations with histopathology
C. Laule (2006)
Myelin water imaging of multiple sclerosis at 7 T: Correlations with histopathology
C. Laule (2008)
An analysis of image texture, tumor location, and MGMT promoter methylation in glioblastoma using magnetic resonance imaging
S. Drabycz (2010)
Normal-appearing white matter changes vary with distance to lesions in multiple sclerosis.
H. Vrenken (2006)
Diffusely abnormal white matter in chronic multiple sclerosis: imaging and histopathologic analysis.
A. Seewann (2009)
Distinct patterns of active and non-active plaques using texture analysis on brain NMR images in multiple sclerosis patients: preliminary results.
O. Yu (1999)
Magnetic resonance imaging as a surrogate outcome measure of disability in multiple sclerosis: Have we been overly harsh in our assessment?
D. Goodin (2006)
Progressive multiple sclerosis
M. Bradl (2009)
Multiple sclerosis normal‐appearing white matter: Pathology–imaging correlations
N. Moll (2011)
A Novel MRI Texture Analysis of Demyelination and Inflammation in Relapsing-Remitting Experimental Allergic Encephalomyelitis
Y. Zhang (2006)
Texture analysis differentiates persistent and transient T1 black holes at acute onset in multiple sclerosis: A preliminary study
Y. Zhang (2011)
T1‐ and T2‐Based MRI Measures of Diffuse Gray Matter and White Matter Damage in Patients with Multiple Sclerosis
M. Neema (2007)
Texture analysis of magnetization transfer maps from patients with clinically isolated syndrome and multiple sclerosis
D. Tozer (2009)
Pattern recognition system for the discrimination of multiple sclerosis from cerebral microangiopathy lesions based on texture analysis of magnetic resonance images.
P. Theocharakis (2009)
Pathological basis of diffusely abnormal white matter: insights from magnetic resonance imaging and histology
C. Laule (2011)
T2 MRI texture analysis is a sensitive measure of tissue injury and recovery resulting from acute inflammatory lesions in multiple sclerosis
Y. Zhang (2009)
Three-dimensional textural analysis of brain images reveals distributed grey-matter abnormalities in schizophrenia
B. Ganeshan (2009)
Formalin fixed brains are useful for magnetic resonance imaging (MRI) study
H. Nagara (1987)
Texture analysis of multiple sclerosis: a comparative study.
J. Zhang (2008)
Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme
E. I. Zacharaki (2009)
Multiscale Amplitude-Modulation Frequency-Modulation (AM–FM) Texture Analysis of Multiple Sclerosis in Brain MRI Images
Christos P. Loizou (2011)
Prospects for Early Detection of Alzheimers Disease from Serial MR Images in Transgenic Mouse Models
M. Muskulus (2009)
Texture analysis of spinal cord pathology in multiple sclerosis
J. M. Mathias (1999)
Characterization of breast cancer types by texture analysis of magnetic resonance images.
K. Holli (2010)
Magnetization transfer ratio and myelin in postmortem multiple sclerosis brain
K. Schmierer (2004)
Effects of MRI acquisition parameter variations and protocol heterogeneity on the results of texture analysis and pattern discrimination: an application-oriented study.
M. Mayerhoefer (2009)
Imaging correlates of axonal swelling in chronic multiple sclerosis brains
E. Fisher (2007)
Remyelination assessment by MRI texture analysis in a cuprizone mouse model.
O. Yu (2004)
An in vivo and post mortem MRI study in multiple sclerosis with pathological correlation.
G. Macćhi (1992)
Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft‐tissue tumors in T1‐MRI images
Jaber Juntu (2010)
Postmortem MRI of human brain hemispheres: T2 relaxation times during formaldehyde fixation
R. Dawe (2009)
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Development of tissue directionality-based measures of demyelination and remyelination for multiple sclerosis using structure tensor analysis
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Grey matter pathology in multiple sclerosis : in vivo and post mortem magnetic resonance imaging studies
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Normal appearing brain white matter changes in relapsing multiple sclerosis: Texture image and classification analysis in serial MRI scans.
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