A multi-channel ultrasonic image diagnosis system with an intelligent image interpreter and its application method

Abstract

The invention relates to a multi-path b-ultrasonic image diagnostic system with an intelligent image interpreting device. The system comprises image analog signals, video and audio alerting signals which need to be corrected and alerting signals. The image analog signals are obtained and sent by 1-N path ultrasonic detection sensors to different examined operating parts of a human body, the image analog signals are processed by b-ultrasonic image imaging devices corresponding to the 1-N path to generate recognizable video and audio signals, the recognizable video and audio signals are sent to b-ultrasonic image imaging long-range displays corresponding to the 1-N path to alert respectively, meanwhile, the recognizable video and audio signals are sent to the intelligent image interpreting device to be processed and fed back to the b-ultrasonic image imaging devices corresponding to the 1-N path to generate the video and audio alerting signals which correspond to the 1-N path and need to be corrected, finally, through b-ultrasonic image imaging long-range and short-range displays corresponding to the 1-N path, the alerting signals correcting the images of the examined operating parts movably detected by the ultrasonic detection sensors are generated. The system has the advantages that the operability of a usage method is high, the misdiagnosis rate of the multi-path b-ultrasonic image diagnostic system is low, and the quality and efficiency of diagnoses are high.

Description

technical field [0001] The invention belongs to the technical field of ultrasonic medical detection, and in particular relates to a multi-channel B-ultrasonic image diagnosis system with an intelligent image interpreter and a use method thereof. Background technique [0002] The methods for collecting the image signal of the inspected part of the existing B-ultrasonic diagnostic instrument mainly include: the first method is to collect the signal of the inspected part by the ultrasound probe of the B-ultrasonic diagnostic instrument, and display it through the monitor after being converted into a video image signal. The video image signals that meet the requirements are sent to the storage monitor for further diagnosis. The second method is to increase the comparison between the photographic reference image and the photographic image on the basis of the traditional B-ultrasound diagnostic instrument, thereby navigating the ultrasonic probe to ensure the correctness of the ph...

AI Technical Summary

Problems solved by technology

[0003] The ultrasonic probe in the first method collects the signal of the tested part because it belongs to random and disorderly positioning of the tested part, so the angle of the tested part cannot be accurately located, and it is easy to cause misdiagnosis of B-ultrasound diagnosis

Although the second method solves the problem that the location of the inspected part is not correct due to the random acquisition of the signal of the inspected part by the ultrasonic probe, the comparison between the photographic reference image and the photographic image is a complex multi-factor problem, and there are many problems. Uncertain and undeterminable factors with little practical value

Although the third method solves the problem that the ultrasonic probe randomly collects the signal of the tested part, the location of the tested part is incorrect, but there are still obvious problems that it cannot be collected correctly due to the irregularity of the section of the tested part or the weak signal. The signals of suspected patients in the tested parts are also prone to misdiagnosis of B-ultrasound diagnosis

But there are still the following obvious deficiencies: First, because there are many uncertain factors in the image comparison method, it is difficult to obtain correct navigation information; middle application

However, there are still the following obvious deficiencies: First, it is not suitable for the detection of irregular or weak signal sections; second, it cannot correctly collect the image signals of suspected patients in the tested parts.

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