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

机译:基于模型的配准使用术中锥形束CT图像进行气胸变形分析

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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.
机译:由于在手术期间由于气胸而使肺变形,因此重要的是能够追踪肿瘤的位置。可以使用术中锥形束CT(CBCT)图像估计整个肺的变形。在这项研究中,我们使用可变形的网格配准方法对充气和放气状态下的配对CBCT图像进行了分析,并对其变形进行了分析。我们提出了一种可变形的网格配准框架,用于涉及大变形和旋转的部分器官形状的变形。实验结果表明,所提出的方法减少了点对点对应的误差。作为在成像期间使用放置在肺表面上的手术夹进行配准的结果,证实了在8例中发生了3.9 mm的平均误差。分析结果表明,组织的旋转和收缩对位移都有很大的影响。

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