基于超声心动图的双心室自动勾勒方法及系统

By analyzing the dynamic characteristics and transition path reliability of consecutive frames in echocardiography, the problem of low accuracy in delineating the biventricular region was solved, achieving higher precision and more stable ventricular region extraction.

CN121904053BActive Publication Date: 2026-07-17THE AFFILIATED HOSPITAL OF XUZHOU MEDICAL UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
THE AFFILIATED HOSPITAL OF XUZHOU MEDICAL UNIV
Filing Date
2026-03-25
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Current echocardiograms have low accuracy in delineating the biventricular region, making it difficult to reliably distinguish between real tissue boundaries and artifacts. Furthermore, they are prone to misidentifying the atria as ventricles, leading to segmentation errors and unreasonable jitter, fragmentation, or morphological distortion.

Method used

By acquiring the dynamic features of continuous frame echocardiograms, the ventricular region is screened out, and the reliability of the transition path is used as a weight for edge fitting to obtain the final edge. Combined with image registration and dynamic feature analysis, motion blur and noise interference are reduced.

Benefits of technology

It improves the extraction accuracy and delineation accuracy of the biventricular region, suppresses interference caused by atrial misjudgment and motion blur, and obtains a clearer and more reliable ventricular contour.

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Abstract

本发明涉及图像分割技术领域,具体涉及一种基于超声心动图的双心室自动勾勒方法及系统,方法包括:根据同一像素点在连续帧超声心动图中的动态特征,得到若干目标区域;根据目标区域在连续帧超声心动图中的特征变化,筛选出心室区域;确定心室区域的初始边缘上各边缘像素点到心室区域中心的过渡路径;由过渡路径的像素点数量和灰度值变化幅度,得到各边缘像素点的可靠程度,将各边缘像素点的可靠程度作为权重,对心室区域的边缘进行拟合,得到心室区域的最终边缘,最终边缘更加清晰可靠,实现心室区域轮廓的平滑、稳定,抑制抖动和畸变,提升超声心动图中的双心室区域的提取精度,进而提升超声心动图中的双心室区域的勾勒准确性。
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