An automatic measurement method for mitral valve leaflet length based on 3D to 2D morphological transformation

The mitral valve leaflet length is automatically measured based on a 3D-to-2D morphological transformation method, which solves the problems of large measurement errors and poor repeatability in traditional methods. It achieves efficient and accurate measurement of the leaflet length in six partitions and is applicable to a variety of three-dimensional medical imaging data.

CN119399149BActive Publication Date: 2025-09-05TUOWEI MIXIN DATA TECH (NANJING) CO LTD
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Patent Information

Application Number
CN202411458813.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-18
Publication Date
2025-09-05
Estimated Expiration
2044-10-18

AI Technical Summary

Technical Problem

Traditional two-dimensional echocardiography for measuring mitral valve leaflet length suffers from large measurement errors, poor repeatability, and difficulty in distinguishing the six zones. Existing three-dimensional data processing methods rely on manual measurement, which is time-consuming and easily affected by subjective factors.

Method used

A method based on 3D-to-2D morphological transformation is used to automatically identify the mitral valve structure by processing three-dimensional medical image data. Mathematical algorithms are used to convert the data into two-dimensional projections, and the lengths of the six partitioned leaflets are calculated. This involves fitting the structural point set, constructing orthogonal planes, and using the cKDTree and Alpha shapes algorithms for precise measurement.

Benefits of technology

It improves the accuracy and consistency of measurement, reduces human errors, improves work efficiency, and provides a more reliable basis for the diagnosis of mitral valve related diseases.

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Abstract

The present invention proposes a method for automatically measuring the length of the mitral valve leaflets based on 3D to 2D morphological transformation. The method first obtains three-dimensional medical image data of the patient's heart and extracts six partitions of the mitral valve and related heart structures. By fitting the mitral valve structure point set, the orthogonal plane is calculated, and the cKDTree algorithm is used to determine the connecting areas of each partition, and the corresponding projection plane is established. The contour of the projected point set is then extracted by the Alpha shapes algorithm and corrected to a linear three-dimensional point set, and finally the length of each partitioned leaflet is calculated. This method improves the accuracy, consistency and efficiency of measurement through automation technology, reduces human errors, is applicable to a variety of three-dimensional medical imaging data, and provides a more reliable basis for the clinical diagnosis and treatment of mitral valve disease.
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