基于无质量弹簧结构的肺组织动态建模及变形预测方法
DOI:
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TH113 TH69

基金项目:

国家自然科学基金(52265013)项目资助


Dynamic modeling and deformation prediction method of lung tissuebased on massless spring mechanism
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    在放射治疗中,人体呼吸运动将导致肺部发生变形,其上肿瘤随之发生的变形和空间运动对放射治疗的精准性和安全 性产生不利影响。 结合计算机断层扫描(CT)影像三维建模技术和呼吸力学原理,提出了一种基于无质量弹簧结构的肺部动态 变形建模及变形预测方法。 首先在在放疗前根据医学影像信息建立肺部模型,然后根据呼吸预测肺部的变形及其上肿瘤的运 动。 实验结果表明,根据预测方法得出的肺部变形与连续医学影像观测下的变形相一致,预测值与观测值的误差在合理范围之 内。 研究能够在常规医学条件下准确、高效地预测呼吸运动影响下肺部的变形与力学特性,为后续肿瘤位移补偿研究提供理论 和方法支撑。

    Abstract:

    In radiation therapy, the respiration may cause lung deformation. The subsequent deformation and spatial movement of tumors on the lung adversely affect the accuracy and safety of radiation therapy. By combining computed tomography (CT) image 3D modeling technology and respiratory mechanics principle, a new method of lung dynamic deformation modeling and deformation prediction based on a massless spring mechanism is proposed in this article. First, a lung model is formulated, which is based on medical image information before radiotherapy. Then, the deformation of the lung and the movement of the tumor on it are predicted based on respiration. The experimental results show that the lung deformation obtained by this method is consistent with the deformation observed under continuous medical imaging. The error between the predicted value and the observed value is within a reasonable range. This study can accurately and efficiently predict lung deformation and mechanical properties under the influence of respiratory movement under conventional medical conditions. It provides theoretical and method support for subsequent research on tumor displacement compensation.

    参考文献
    相似文献
    引证文献
引用本文

张来喜,朱盛杰,朱艳梅,马凯威,徐丰羽.基于无质量弹簧结构的肺组织动态建模及变形预测方法[J].仪器仪表学报,2024,45(10):209-221

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2025-01-03
  • 出版日期:
文章二维码