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基于模型的配准用于使用术中锥束CT图像进行气胸变形分析。

Model-based registration for pneumothorax deformation analysis using intraoperative cone-beam CT images.

作者信息

Maekawa Hinako, Nakao Megumi, Mineura Katsutaka, Chen-Yoshikawa Toyofumi F, Matsuda Tetsuya

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:5818-5821. doi: 10.1109/EMBC44109.2020.9176729.

Abstract

Because the lung deforms during surgery because of pneumothorax, it is important to be able to track the location of a tumor. Deformation of the whole lung can be estimated using intraoperative cone-beam CT (CBCT) images. In this study, we used deformable mesh registration methods for paired CBCT images in the inflated and deflated states, and analyzed their deformation. We proposed a deformable mesh registration framework for deformations of partial organ shapes involving large deformation and rotation. Experimental results showed that the proposed methods reduced errors in point-to-point correspondence. As a result of registration using surgical clips placed on the lung surface during imaging, it was confirmed that an average error of 3.9 mm occurred in eight cases. The result of analysis showed that both tissue rotation and contraction had large effects on displacement.

摘要

由于手术过程中肺会因气胸而变形,因此能够追踪肿瘤的位置非常重要。可以使用术中锥形束CT(CBCT)图像来估计整个肺的变形情况。在本研究中,我们对充气和放气状态下的配对CBCT图像使用了可变形网格配准方法,并分析了它们的变形情况。我们提出了一种用于涉及大变形和旋转的部分器官形状变形的可变形网格配准框架。实验结果表明,所提出的方法减少了点对点对应中的误差。通过使用成像期间放置在肺表面的手术夹进行配准的结果,证实了8例病例中平均误差为3.9毫米。分析结果表明,组织旋转和收缩对位移都有很大影响。

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