Scholarlink

Robot-assisted biopsy surgery has been widely used in clinical applications, particularly in the image-guided interventions. Considering the dynamic human lung motion model that could not be accurately estimated by the static CT images, performing lung biopsy surgery can be challenging based on static CT images. In this paper, we aim to establish the lung respiratory motion model via diffeomorphic approach based on 4D CT images to facilitate the image-guided interventions, generating motion information regarding the region of lung. The derived vector field is also validated and compared against the reference vector field.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Intra-Subject Respiratory Motion Modeling Based on 4D CT Images via Diffeomorphic Approach

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Kunpeng Wang,
  • Zhichun Ye,
  • Yunpu Zeng,
  • Zheng Yang,
  • Sai Cheong Fok

摘要

Robot-assisted biopsy surgery has been widely used in clinical applications, particularly in the image-guided interventions. Considering the dynamic human lung motion model that could not be accurately estimated by the static CT images, performing lung biopsy surgery can be challenging based on static CT images. In this paper, we aim to establish the lung respiratory motion model via diffeomorphic approach based on 4D CT images to facilitate the image-guided interventions, generating motion information regarding the region of lung. The derived vector field is also validated and compared against the reference vector field.