A spine curvature measurement method, device and equipment based on a visual large model

CN122156060APending Publication Date: 2026-06-05XUANWU HOSPITAL OF CAPITAL UNIV OF MEDICAL SCI

Patent Information

Authority / Receiving Office: CN · China
Patent Type: Applications(China)
Current Assignee / Owner: XUANWU HOSPITAL OF CAPITAL UNIV OF MEDICAL SCI
Filing Date: 2026-01-23
Publication Date: 2026-06-05

AI Technical Summary

Technical Problem

Existing technologies for measuring spinal curvature suffer from problems such as cumbersome and time-consuming measurements, low accuracy, reliance on operator subjective experience, and insufficient generalization ability and robustness of automated measurement methods when faced with complex image quality and anatomical differences.

Method used

A visual large model-based method for measuring spinal curvature is adopted, and an integrated progressive spinal measurement framework is constructed, including a feature extraction module and a progressive task decoder module. Multi-scale high-resolution feature maps are used for spinal measurement, and a lightweight dedicated task head is used to calculate key vertebral point information.

Benefits of technology

It improves measurement accuracy and generalization ability, simplifies clinical operation, enhances model stability and reliability, and improves diagnostic and treatment efficiency.

✦ Generated by Eureka AI based on patent content.

Smart Images

Figure CN122156060A_ABST

Patent Text Reader

Abstract

The embodiment of the present disclosure provides a spine curvature measurement method and device based on a visual large model, and equipment, relating to the technical field of medical image processing, which comprises: constructing an integrated progressive spine measurement framework; wherein the integrated progressive spine measurement framework comprises a feature extraction module and a progressive task decoder module; the feature extraction module is constructed based on a visual large model, and the progressive task decoder module is constructed using multiple lightweight special task heads; inputting a target image into the integrated progressive spine measurement framework, using the feature extraction module to extract a multi-scale high-resolution feature map of the target image, using the progressive task decoder module to perform a spine measurement task on the multi-scale high-resolution feature map, and obtaining vertebra key point information; and using the vertebra key point information to calculate angle information of the spine curvature. The present application can improve the diagnosis and treatment efficiency and reliability.

Need to check novelty before this filing date? Find Prior Art