Key result
A global registration method using local phase and orientation effectively suppressed external disturbances and significantly improved carotid wall motion estimation accuracy.
Why the study?
Probe operator instability and subject breathing cause external disturbances that degrade carotid wall motion estimation accuracy during speckle tracking on B-mode ultrasound images.
Does a global registration method using local phase and orientation improve the estimation accuracy of carotid arterial wall motion compared to direct extraction from B-mode or phase images?
Does a global registration method using local phase and orientation improve the estimation accuracy of carotid arterial wall motion compared to direct extraction from B-mode or phase images?
A novel preprocessing method using local phase and orientation significantly improves the accuracy of carotid wall motion estimation from B-mode ultrasound by suppressing external disturbances.
Should not yet change clinical ultrasound practice; leaves open prospective validation against cardiovascular outcomes.
Estimating the motions of the common carotid artery wall plays a very important role in early diagnosis of the carotid atherosclerotic disease. However, the disturbances caused by either the instability of the probe operator or the breathing of subjects degrade the estimation accuracy of arterial wall motion when performing speckle tracking on the B-mode ultrasound images. In this paper, we propose a global registration method to suppress external disturbances before motion estimation. The local vector images, transformed from B-mode images, were used for registration. To take advantage of both the structural information from the local phase and the geometric information from the local orientation, we proposed a confidence coefficient to combine them two. Furthermore, we altered the speckle reducing anisotropic diffusion filter to improve the performance of disturbance suppression. We compared this method with schemes of extracting wall displacement directly from B-mode or phase images. The results show that this scheme can effectively suppress the disturbances and significantly improve the estimation accuracy.
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Zhang et al. (2019) studied carotid atherosclerotic disease. Global registration method using local phase and orientation vs. Extracting wall displacement directly from B-mode or phase images was evaluated on Estimation accuracy of arterial wall motion. A global registration method using local phase and orientation effectively suppressed external disturbances and significantly improved carotid wall motion estimation accuracy.
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