The intima-media thickness (IMT) of the common carotid artery (CCA) is widely used as an early indicator of cardiovascular\ndisease (CVD). Typically, the IMT grows with age and this is used as a sign of increased risk of CVD. Beyond thickness, there is\nalso clinical interest in identifying how the composition and texture of the intima-media complex (IMC) changed and how these\ntextural changes grow into atherosclerotic plaques that can cause stroke. Clearly though texture analysis of ultrasound images can\nbe greatly affected by speckle noise, our goal here is to develop effective despeckle noise methods that can recover image texture\nassociated with increased rates of atherosclerosis disease. In this study, we perform a comparative evaluation of several despeckle\nfiltering methods, on 100 ultrasound images of the CCA, based on the extracted multiscale Amplitude-Modulation Frequency-\nModulation (AM-FM) texture features and visual image quality assessment by two clinical experts. Texture features were extracted\nfrom the automatically segmented IMC for three different age groups. The despeckle filters hybrid median and the homogeneous\nmask area filter showed the best performance by improving the class separation between the three age groups and also yielded\nsignificantly improved image quality.
Loading....