Summary of traditional ultrasound image processing methods

(1) Ultrasound images are of poor quality due to their unique speckle noise, making it difficult to identify and analyze image details
(2) The key tasks are standard slice positioning of anatomical structures and measurement of biological parameters, such as accurate screening of the fetus Malformation requires three sections of the brain / three sections of the face and four chambers of the heart, as well as the corresponding head circumference / eye distance / atrial / ventricular and other parameters.

(3) The cause of speckle noise: It is caused by the backscattered sound waves of a large number of tissue structures with a size smaller than the wavelength in the human body.It reduces the contrast of the B-mode ultrasound image and the detailed information available in the tissue.

(4) Approximate classification of speckle noise model: (1) completely random model (such as blood cells) / (2) long-range order non-random distribution model (such as liver parenchyma lobule) / (4) short-range order non-random Distribution models (such as tissue surfaces and blood vessels), their backscattered signals respectively subduct Rayleigh distribution / K distribution / Rician distribution, so it is inspiring that people should use different filtering methods for different regions.

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Origin blog.csdn.net/qq_34291583/article/details/95099310