Key result
Texture and orientation feature analysis accurately identified asymptomatic carotid plaques, showing lower feature values in horizontal versus vertical detail images for asymptomatic subjects.
Why the study?
Can texture and orientation features identify asymptomatic carotid artery plaque?
Can texture and orientation features identify asymptomatic carotid artery plaque?
An algorithm using texture and orientation features can differentiate between symptomatic and asymptomatic carotid plaques based on horizontal versus vertical detail image values.
May support texture-based carotid plaque risk stratification; hypothesis-generating and requires prospective validation before clinical adoption.
The carotid artery asymptomatic plaque identification has been done using the texture features at various orientation scales and presented in this study. The plaque region has been segmented using cubic spline interpolation method for multiresolution analysis using discrete wavelet transform. The features have been extracted using various scale and orientation of detail sub images using Gabor filters. It has been found from the analysis that the horizontal detail images have significantly greater values of the features than vertical detail images for symptomatic subjects. However, the horizontal detail images have shown low values compared to the vertical detail images for asymptomatic subjects. The algorithm is found to be simple and accurate for identifying the asymptomatic plaque clinically using less number of features.
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Sasikala et al. (2014) studied Carotid asymptomatic plaque. Texture and orientation feature analysis was evaluated on Identification of asymptomatic plaque. Texture and orientation feature analysis accurately identified asymptomatic carotid plaques, showing lower feature values in horizontal versus vertical detail images for asymptomatic subjects.
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