Device for assisting diagnosis and treatment decision of aneurysm and storage medium

By automating the segmentation and quantification of aneurysm regions, calculating key parameters, determining the aneurysm neck type, dividing the main sub-regions, and generating auxiliary diagnostic and treatment decisions, the low efficiency and accuracy problems of aneurysm morphological analysis are solved, and the reliability of clinical diagnosis and treatment is improved.

CN122290959APending Publication Date: 2026-06-26UNION STRONG (BEIJING) TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
UNION STRONG (BEIJING) TECH CO LTD
Filing Date
2026-03-27
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

In existing technologies, there is a lack of automated and intelligent analysis of the morphological characteristics of aneurysms, which makes manual measurement by doctors time-consuming and labor-intensive, and the repeatability is poor, making it difficult to accurately assess the risk of rupture and select treatment options.

Method used

A device and a computer-readable storage medium are provided, which execute computer instructions through a processor to automatically segment the aneurysm region and the carrier artery region, calculate key morphological parameters, determine the aneurysm neck type, divide the main body and sub-regions, and generate auxiliary diagnosis and treatment decisions.

Benefits of technology

It achieves accuracy and stability in aneurysm morphological assessment, provides objective quantitative evidence, offers reliable support for interventional treatment planning, and avoids the tediousness and subjective bias of manual analysis.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application discloses a device and storage medium for auxiliary diagnosis and treatment decision-making for aneurysms. The device includes a processor and a memory, enabling the following operations: segmenting the aneurysm region and the parent artery region based on original three-dimensional vascular images; calculating key morphological parameters of the aneurysm based on the aneurysm region and the parent artery region; determining the aneurysm neck type based on the key morphological parameters, obtaining a neck classification result; dividing the aneurysm region into a main region and sub-regions; calculating three-dimensional spatial geometric parameters between the main region and the sub-regions; and determining the decision result for auxiliary diagnosis and treatment of the aneurysm based on the neck classification result and the three-dimensional spatial geometric parameters. Using the solution of this application, the aneurysm and parent artery can be automatically segmented, key morphological parameters can be accurately calculated, the neck type can be intelligently classified, complex substructures can be analyzed, and treatment suggestions can be output, providing objective and quantitative decision support for clinicians.
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