Artificial intelligence echocardiography data acquisition system and data acquisition method thereof

Abstract

The invention relates to an artificial intelligence echocardiography data acquisition system and a data acquisition method by using the system thereof. The system comprises a data acquisition module (1), a data uploading module (2), a data identification module (3), an ultrasound imaging workstation (4), a data measurement module (5), and a data generation module (6). The system can assist doctorsto perform accurate positioning of echocardiography and data measurement, which not only reduces the deviation of data collected by echocardiography caused by human factors, but also greatly reducesthe workload of the sonographers.

Description

Technical field [0001] The invention relates to an image data acquisition system, in particular to a system that uses artificial intelligence technology for echocardiogram data acquisition. Background technique [0002] At present, artificial intelligence is ushering in a new round of innovation and development on a global scale. The fundamental reason is deep learning algorithms, massively parallel computing and big data technology. 90% of the medical big data comes from medical imaging, and my country's medical imaging data is expanding year by year at an annual growth rate of 30%. In order to meet the increasingly complex medical image analysis and processing requirements, artificial intelligence methods have become medical image processing technologies in recent years A research hotspot of development. [0003] As an important part of medical imaging, echocardiography is a non-invasive examination that uses the special physical characteristics of ultrasound to examine the struc...

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Problems solved by technology

[0008] The problems that can be solved by the present invention include: promoting the unified standardization of ultrasonic examination through artificial intelligence technology, which not only improves the accuracy of echocardiographic examination, but also solves the problem of non-recognition of echocardiographic diagnosis results in different hospitals, and promotes the work of echocardiographic examination It can also maximize the release of sonographer resources, and enable grassroots doctors to have expert-level echocardiographic examination capabilities, which will help realize the diversion of patients and effectively alleviate the domestic ultrasound medical treatment. The status quo of uneven distribution of resources

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