Handheld ultrasonic imaging system based on artificial intelligence and method thereof

Abstract

According to the technical scheme, a handheld ultrasonic imaging system based on artificial intelligence and a method thereof. The method comprises the following steps of using an ultrasonic diagnostic apparatus used for scanning a designated body area of an examined person, conducting ultrasonic imaging and an ultrasonic image; performing image graying processing on an obtained ultrasonic image;carrying out image denoising processing on the ultrasonic image after graying processing; carrying out image binarization processing and image enhancement on the processed ultrasonic image, and carrying out standardization processing on the image size; and based on an artificial intelligence model trained by the injury judgment big data information, outputting an injury judgment result by taking the standardized image as input. The system has the beneficial effects that the injury condition of the patient is remotely and automatically diagnosed, expert manual judgment is not needed, the optimal treatment time of the patient is not delayed to the maximum extent, and the first-aid survival rate is increased.

Description

technical field [0001] The invention relates to a hand-held ultrasonic imaging system based on artificial intelligence and a method thereof, belonging to the field of medical technology. Background technique [0002] Ultrasonic diagnosis (ultrasonic diagnosis) is a diagnostic method that applies ultrasonic detection technology to the human body, understands the data and morphology of physiological or tissue structures, discovers diseases, and makes prompts. At present, ultrasonic diagnosis has become a widely used diagnostic technology, the most typical one is B-ultrasound, which has the advantages of non-invasive, real-time, non-ionizing radiation, and cheap. However, the accuracy of ultrasound diagnosis is highly dependent on the skill of the ultrasound system operator, who must have specific knowledge of interpreting ultrasound images and anatomy, and requires years of training to accurately operate the ultrasound probe. probe) did not obtain the ultrasound image of the ...

AI Technical Summary

Problems solved by technology

These limit the application of ultrasonic diagnosis in places with limited medical resources, such as clinics and community hospitals in some developing countries or rural areas.

[0003] The traditional solution is to remotely send ultrasound image data to qualified doctors or experts for remote diagnosis. However, there are several problems in this. First, doctors do not have much time and energy for remote diagnosis when medical resources are scarce. Secondly, some first aid scenarios need to be fed back immediately after uploading the information, and the doctor may be visiting the doctor or not in the office at this time, which will delay the best treatment time of the patient and endanger the life of the patient

Images