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Review of Methods for Texture Analysis of Myocardium From Echocardiographic Images: A Means of Tissue Characterization
Author(s) -
Kerut Edmund Kenneth,
Given Michael,
Giles Thomas D.
Publication year - 2003
Publication title -
echocardiography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 62
eISSN - 1540-8175
pISSN - 0742-2822
DOI - 10.1111/j.0742-2822.2003.01126.x
Subject(s) - texture (cosmology) , wavelet , characterization (materials science) , image texture , artificial intelligence , medicine , computer science , radiology , computer vision , biomedical engineering , pattern recognition (psychology) , cardiology , image (mathematics) , materials science , image processing , nanotechnology
This review discusses the definition of texture and identifies its utility in echocardiography for characterization of tissue. Methods used for quantification of texture in echocardiography and other disciplines are discussed. Several methodologies, particularly the wavelet method of texture quantification, seem to be promising. Image texture analysis appears to be a fertile area for research in echocardiography. (ECHOCARDIOGRAPHY, Volume 20, November 2003)