re: Reliability of 3D Texture Analysis: A Multicenter MRI Study of the Brain

2019 ◽  
Vol 51 (4) ◽  
pp. 1210-1211
Author(s):  
Niels Bergsland
Keyword(s):  
Texture Analysis ◽  
3D Texture ◽  
3D Texture Analysis ◽  
Mri Study ◽  
The Brain

Reliability of 3D texture analysis: A multicenter MRI study of the brain

2019 ◽  
Vol 51 (4) ◽  
pp. 1200-1209 ◽  
Author(s):  
Daniel Ta ◽  
Muhammad Khan ◽  
Abdullah Ishaque ◽  
Peter Seres ◽  
Dean Eurich ◽  
...  
Keyword(s):  
Texture Analysis ◽  
3D Texture ◽  
3D Texture Analysis ◽  
Mri Study ◽  
The Brain

scholarly journals 3D texture analysis for classification of second harmonic generation images of human ovarian cancer

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Bruce Wen ◽  
Kirby R. Campbell ◽  
Karissa Tilbury ◽  
Oleg Nadiarnykh ◽  
Molly A. Brewer ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Second Harmonic Generation ◽  
Texture Analysis ◽  
Harmonic Generation ◽  
Second Harmonic ◽  
Human Ovarian Cancer ◽  
3D Texture ◽  
3D Texture Analysis

3D Texture Analysis of Corpus Caliosum Based on MR Images Inpatients with Alzheimer’s Disease and Mild Cognitive Impairment

2014 ◽  
Vol 533 ◽  
pp. 415-420 ◽  
Author(s):  
Wei Fang Liu ◽  
Xu Wang ◽  
Hong Xia
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Corpus Callosum ◽  
Texture Analysis ◽  
Three Dimensional ◽  
Texture Features ◽  
Grey Level ◽  
Run Length ◽  
3D Texture ◽  
3D Texture Analysis

This study investigated three-dimensional (3D) texture as a possible diagnostic marker of Alzheimers disease (AD). Methods: T1-weighted MRI of 18 AD patients, 18 Mild Cognitive Impairment (MCI) patients and 18 normal controls (NC) were selected.3D Texture parameters of the corpus callosum,including contrast, inverse difference moment , entropy, short run emphasis, long run emphasis, grey level nonuniformity, run length nonuniformity and fraction were extracted from the gray level co-occurrence matrix and run length matrix. Finally statistic significance was tested among three groups, and the correlations between parameters and Mini-Mental State Examination (MMSE) scores were calculated. Results: The results showed that the 3D texture features had significant differences (p<0.05) among three groups except grey level nonuniformity and run length nonuniformity that the difference was not significant (p>0.05) between MCI and NC or AD and MCI , and they were correlated with MMSE scores.Conclusions: 3D texture analysis can reflect the pathological changes of corpus callosum in patients with AD and MCI, and it may be helpful to AD early diagnosis.

scholarly journals 2D and 3D texture analysis to differentiate brain metastases on MR images: proceed with caution

2017 ◽  
Vol 31 (2) ◽  
pp. 285-294 ◽  
Author(s):  
Monika Béresová ◽  
Andrés Larroza ◽  
Estanislao Arana ◽  
József Varga ◽  
László Balkay ◽  
...  
Keyword(s):  
Brain Metastases ◽  
Texture Analysis ◽  
Mr Images ◽  
3D Texture ◽  
3D Texture Analysis ◽  
2D And 3D

scholarly journals 3D Texture Analysis Reveals Imperceptible MRI Textural Alterations in the Thalamus and Putamen in Progressive Myoclonic Epilepsy Type 1, EPM1

PLoS ONE ◽  
2013 ◽  
Vol 8 (7) ◽  
pp. e69905 ◽  
Author(s):  
Sanna Suoranta ◽  
Kirsi Holli-Helenius ◽  
Päivi Koskenkorva ◽  
Eini Niskanen ◽  
Mervi Könönen ◽  
...  
Keyword(s):  
Texture Analysis ◽  
Myoclonic Epilepsy ◽  
3D Texture ◽  
Progressive Myoclonic Epilepsy ◽  
3D Texture Analysis
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