心脏瓣膜反流的检测方法、系统和介质
By using principal component analysis and morphological feature parameter quantification, the problem of reliance on human experience in the detection of valvular regurgitation was solved, achieving high consistency and accuracy of test results and improving detection efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- VINNO TECH (SUZHOU) CO LTD
- Filing Date
- 2025-07-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies rely on human experience in detecting valvular regurgitation, which suffers from high subjectivity, poor consistency, and low repeatability, resulting in inaccurate measurement results and low efficiency.
Principal component analysis was used to identify the regurgitation region of the heart valves, determine the main extension direction, and quantify the regurgitation state through morphological characteristic parameters, including the width of the constriction neck of the regurgitation jet and the radius of the proximal isokinetic surface, to provide objective detection results.
It achieves a high degree of consistency and repeatability in the detection results of heart valve regurgitation, eliminates subjective errors in manual measurement, and improves detection efficiency and accuracy.
Smart Images
Figure CN120938489B_ABST