A spinal orthopedic surgery segment intelligent prediction method based on fusion of standing position orthogonal X-ray and lying position CT data of a spine

By integrating orthogonal X-ray data of the spine in standing position and CT data in supine position, and combining them with clinical indicators, a method for predicting spinal surgical segments was constructed. This method solves the problems of insufficient utilization of complementary information from image modalities and inadequate integration of clinical information in existing technologies, and achieves precise spinal surgical planning and segment-level operability.

CN122117269APending Publication Date: 2026-05-29NANJING UNIV +1
View PDF 0 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING UNIV
Filing Date
2026-02-09
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing technologies struggle to fully utilize the complementary information between orthogonal X-ray and CT data, and the integration of clinical information and imaging features is insufficient, resulting in inadequate accuracy and operability in spinal surgery decisions, particularly at the segmental level where clear modeling is lacking.

Method used

By integrating orthogonal X-ray data of the spine in standing position and CT data in supine position, and combining it with the patient's clinical indicators, a complete technical process is constructed from key point detection, three-dimensional segmentation to surgical segment prediction, including key point localization, spinal repositioning and segmental analysis, to achieve unified normalization of multimodal data, rigid body repositioning and regulation of clinical conditions.

Benefits of technology

It enables a comprehensive and precise depiction of the spinal morphology, improves the accuracy and operability of surgical decisions, reduces the workload of doctors, and provides stable and objective support for spinal surgery planning.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122117269A_ABST
    Figure CN122117269A_ABST
Patent Text Reader

Abstract

The application discloses a kind of based on spinal column standing position orthogonal X-ray and lying CT data fusion spinal column orthopedic surgery segment intelligent prediction method, it is related to medical image processing and intelligent auxiliary decision-making technical field.The method is by obtaining patient coronal position and sagittal position X-ray image, lying CT data and clinical index, by key point automatic positioning, three-dimensional spinal column segmentation, spinal column weight position rigid body reposition, then combining clinical index input surgery scheme prediction model, realize the intelligent prediction of each vertebral body segment surgery fusion demand.The application fuses multimodal medical image and clinical prior information, solves the deviation caused by the limitation of single image mode, body position difference and other problems, provides stable, objective and has the decision support of clinical reference value for spinal column scoliosis surgery planning.
Need to check novelty before this filing date? Find Prior Art