With the maturing of ultrasonic imaging technology, medical ultrasonic imaging equipment with real-time, nondestructive, and cheap, the advantages of sensitivity, medical clinical researchers often think of medical ultrasound images as an important basis for clinical diagnosis, however, coherent characteristics of medical ultrasonic images inevitably caused the ultrasonic image speckle noise. The purpose of this study is to collect and process medical ultrasonic video images. In this paper, several typical and efficient filtering methods are analyzed, and a denoising model based on anisotropic diffusion algorithm is proposed. Considering the centrality of wavelet transform coefficient, an effective ultrasonic image denoising algorithm for anisotropic diffusion based on wavelet domain is formed by improving SARD algorithm and adding fidelity term into the algorithm. The experimental results show that the anisotropic diffusion based on wavelet domain of medical ultrasound image denoising algorithm is used to suppress speckle noise in medical ultrasound images has a good effect, not only effectively suppress the speckle noise, at the same time to keep the details of useful edge character and purpose, the processed images meet the requirements of the doctor diagnosed 85%.

Rashid Gull. Acquisition and Processing of Medical Ultrasonic Video Images. International Journal of Health and Pharmaceutical Medicine  (2022), Vol. 3, Issue 4: 14-28. https://doi.org/10.38007/IJHPM.2022.030402.

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