Gain optimization method for ultrasound images and ultrasound imaging gain automatic optimization device

Abstract

The invention discloses a gain optimization method for ultrasound images. The gain optimization method comprises the following steps: acquiring a tissue image and data of a noise image under the same condition; performing de-noising processing on the tissue image by utilizing the noise image; identifying a tissue area in the tissue image; judging whether the proportion of the tissue area in the tissue image exceeds a set threshold condition or not; calculating the master gain and a TGC (time gain compensation) curve of the tissue image by selecting a corresponding method; enabling the TGC curve and the master gain to act on the tissue image. The gain optimization method for the ultrasound images provided by the invention is also suitable for various types of ultrasound images under conventional B-mode imaging and coherent contrast imaging, and not only is capable of guaranteeing the lossless display of information in the image but also meets the requirement that the optimized images are uniform and consistent in brightness. The invention also provides an ultrasound coherent contrast imaging gain optimization method and an ultrasound imaging automatic optimization device; compared with the prior art, the ultrasound coherent contrast imaging gain optimization method and the ultrasound imaging automatic optimization device are capable of enabling the different individual contrastographic images after subjected to gain optimization to be basically consistent in brightness, and therefore, the scanning efficiency of a doctor is greatly improved.

Description

technical field [0001] The invention relates to an ultrasound image optimization technology, in particular to an ultrasound image gain optimization method and an ultrasound imaging gain automatic optimization device. Background technique [0002] Gain adjustment has always been a relatively important link in ultrasound imaging. Generally, a fixed gain is set inside the ultrasound imaging system. This gain is usually suitable for most individuals. However, due to the different degrees of attenuation of ultrasound in each patient, the system presets The fixed gain is not fully applicable, and the user needs to manually adjust TGC (time gain compensation, time gain compensation), LGC (later gain compensation, lateral gain compensation) and overall gain (master gain). User adjustment is not only time-consuming, but also may not be able to call out the optimal gain curve, automatic gain optimization can solve these problems. At present, many ultrasonic instruments of merchants h...

AI Technical Summary

Problems solved by technology

At present, the two maps use the same gain curve, but due to the different characteristics of the contrast map and tissue map, the gain curve set according to the tissue map may not be applicable to the contrast map

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