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Application of texture analysis on parametric T

Authors :
HeiShun, Yu
Anne-Sophie, Touret
Baojun, Li
Michael, O'Brien
Muhammad M, Qureshi
Jorge A, Soto
Hernan, Jara
Stephan W, Anderson
Source :
Journal of magnetic resonance imaging : JMRI. 45(1)
Publication Year :
2016

Abstract

To assess the utility of texture analysis of TFollowing Institutional Animal Care and Use Committee approval, a dietary model of hepatic fibrosis was used and 15 ex vivo murine livers were examined. Images were acquired using a 30 mm bore 11.7T magnetic resonance imaging (MRI) scanner with a rapid acquisition with relaxation enhancement sequence. Texture analysis was then employed, extracting texture features including histogram-based, gray-level co-occurrence matrix-based (GLCM), gray-level run-length-based features (GLRL), gray-level gradient matrix (GLGM), and Laws' features. Areas under the curve (AUCs) were then calculated to determine the ability of texture features to detect hepatic fibrosis.Texture analysis of TThis study demonstrates the utility of texture analysis for the detection of hepatic fibrosis when applied to T1 J. Magn. Reson. Imaging 2017;45:250-259.

Details

ISSN :
15222586
Volume :
45
Issue :
1
Database :
OpenAIRE
Journal :
Journal of magnetic resonance imaging : JMRI
Accession number :
edsair.pmid..........7e573321fb5163cf4165e3b3139229d2