Call For Paper Volume:4 Issue:7 Jul'2017 |

STATISTICAL FEATURE ANALYSIS OF ULTRASOUND CAROTID IMAGES FOR ASYMPTOMATIC PLAQUE IDENTIFICATION

Publication Date : 01/04/2015



Author(s) :

B.Sowndarya , D.Sasikala.


Volume/Issue :
Volume 2
,
Issue 4
(04 - 2015)



Abstract :

Carotid plaques have been associated with neurological, cerebrovascular and cardiovascular disease symptoms. High-resolution ultrasound scanning images can provide information about degree of carotid artery plaque. It also illustrates the characteristics of the arterial wall including the size and consistency of atherosclerotic plaques. The aim of this study is to extract the features from the ultrasound plaque image based on the technique multiresolution analysis. In this analysis combination of wavelet transform and Gabor transform are performed to the plaque image. At the end of analysis, Grey Level Run length Statistics features are extracted. These features improve the ability to identify the plaque type for further classification process


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STATISTICAL FEATURE ANALYSIS OF ULTRASOUND CAROTID IMAGES FOR ASYMPTOMATIC PLAQUE IDENTIFICATION

April 1, 2015