A TEE heart ultrasound real-time segmentation method based on Unet network

The TEE cardiac ultrasound real-time segmentation method based on Unet network solves the problems of resource imbalance, low efficiency and unstable imaging in traditional ultrasound diagnosis. It realizes automatic segmentation of lesion areas and parameter measurement, improves diagnostic accuracy and efficiency, and promotes the fairness and inclusiveness of medical resources.

CN122454575APending Publication Date: 2026-07-24BEIJING LINJIN SPACE AIRCRAFT SYST ENG INST +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING LINJIN SPACE AIRCRAFT SYST ENG INST
Filing Date
2026-06-02
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Traditional ultrasound diagnostic techniques suffer from imbalances in medical resources, insufficient diagnostic efficiency, and unstable imaging quality. Furthermore, they heavily rely on physicians manually measuring lesion parameters, resulting in high subjectivity and low efficiency.

Method used

A real-time segmentation method for cardiac ultrasound based on Unet networks is adopted, which combines encoder-decoder symmetrical network topology, skip connection mechanism, transposed convolutional layer and hollow spatial pyramid pooling module to achieve real-time segmentation and automatic measurement of lesion area, and supports access to mainstream ultrasound equipment and intelligent auxiliary diagnosis of software system.

Benefits of technology

It has significantly improved the efficiency and accuracy of cardiac ultrasound diagnosis, reduced the workload of doctors, optimized the allocation of medical resources, ensured high-quality ultrasound examinations in remote areas, and promoted the development of smart healthcare.

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Abstract

The application provides a TEE heart ultrasound real-time segmentation method based on a Unet network, aims at the deficiency of medical heart ultrasound diagnosis, combines the actual demand of front-line doctors, is based on computer vision technology, uses an intelligent software system in cooperation with a medical imaging device, designs a TEE heart ultrasound real-time segmentation algorithm, and realizes the basic function of real-time segmentation of a lesion area and the automatic measurement function of a lesion parameter.
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