东北大学学报(自然科学版) ›› 2026, Vol. 47 ›› Issue (1): 52-59.DOI: 10.12068/j.issn.1005-3026.2026.20259021

• 智慧医疗专栏 • 上一篇    下一篇

面向椎体成形术的骨水泥注射过程可视化仿真

张雅斓1(), 申龙1, 张少甫2, 张雪松2   

  1. 1.北京科技大学 智能科学与技术学院,北京 100083
    2.中国人民解放军总医院 骨科,北京 100853
  • 收稿日期:2025-06-05 出版日期:2026-01-15 发布日期:2026-03-17
  • 通讯作者: 张雅斓
  • 作者简介:张雅斓(1992—),女,河北沧州人,北京科技大学副教授.
  • 基金资助:
    国家自然科学基金资助项目(62306032)

Visual Simulation of Bone Cement Injection Process for Vertebroplasty

Ya-lan ZHANG1(), Long SHEN1, Shao-fu ZHANG2, Xue-song ZHANG2   

  1. 1.School of Intelligence Science and Technology,University of Science and Technology Beijing,Beijing 100083,China
    2.Department of Orthopedics,Chinese PLA General Hospital,Beijing 100853,China. com
  • Received:2025-06-05 Online:2026-01-15 Published:2026-03-17
  • Contact: Ya-lan ZHANG

摘要:

在骨科经皮椎体成形手术中,骨水泥注射核心参数(如注射量、压力及角度)的确定仍依赖经验判断,而这些参数对防止渗漏和并发症至关重要.为此,本文提出一种集成多相非牛顿流体模型的先进仿真框架.该框架采用基于Voronoi图的仿生骨表征方法,用于预测骨小梁结构内的水泥流动特性,并支持不同工况下水泥弥散情况的高保真可视化分析.实验结果表明,本仿真框架在术前规划优化、手术培训辅助及渗漏风险评估方面展现出潜在应用价值:术前可辅助医护人员预演注射过程以优化操作方案;在培训场景中,能模拟不同参数下的水泥弥散效果,为新手医师熟悉操作逻辑提供参考;同时,其对渗漏风险的预测功能,也有望为提升临床手术安全性提供技术层面的支持.

关键词: 医学可视化, 骨填充模拟, 多相非牛顿流体建模, 骨水泥

Abstract:

Determining key injection parameters of bone cement, such as volume, pressure and angle, in percutaneous vertebroplasty still largely relies on empirical judgment, and they have a critical role in preventing leakage and related complications. An advanced simulation framework that integrated a multiphase non-Newtonian fluid model was introduced. The framework employed a Voronoi-based biomimetic bone representation to predict cement flow behavior within trabecular structures, enabling high-fidelity visualization and analysis of cement dispersion under varying operating conditions. Experimental results demonstrate the framework’s potential value in preoperative planning optimization, surgical training assistance, and leakage risk assessment. For preoperative use, it can assist clinicians in rehearsing injection procedures and refining operation strategies; in training scenarios, it can simulate cement dispersion patterns under different parameter settings, thereby helping novice surgeons understand procedural logic; furthermore, its capability to predict leakage risks holds promise for providing technical support to improve clinical surgical safety.

Key words: medical visualization, bone filling simulation, multiphase non-Newtonian fluid modeling, bone cement

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