An adaptive weighted ultrasound imaging method based on absolute dispersion statistical factor
[Objective]To improve the image quality of ultrasound imaging equipment,enhance the contrast and resolution of ultrasound images,and enhance the ability to suppress noise.[Methods]Firstly,we delayed the echo signal received by the ultrasonic probe and stored the post-delay data as an imaging vector.Subsequently,we calculated the average value of the vector to obtain the absolute deviation vector.Based on the deviation,we set a threshold for statistical analysis and derived the absolute deviation statistical coefficient.We then multiplied this coefficient with the original imaging result to obtain an ultrasound image weighted based on the absolute deviation statistical factor.[Results]Compared with traditional algorithms that use delay-and-sum (DAS) beamforming for imaging,this algorithm significantly reduces the lateral peak full width at half maximum (FWHM) and increases the contrast-to-noise ratio (CNR).Compared with the coherence factor (CF) based algorithm,the lateral FWHM is reduced,while contrast ratio (CR) and speckle signal-to-noise ratio (sSNR) are both increased.Compared with the generalized coherence factor (GCF) based algorithm,the lateral FWHM is reduced and CNR is increased.[Conclusion]The algorithm based on absolute dispersion statistical factor weighting has a simple computational complexity,is easy to implement,and can suppress strong noise,which to some extent improves the contrast and resolution of ultrasound images and effectively improves the imaging quality of background tissues.
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