论文标题
通过映射CT和锥形束CT图像对气胸变形的统计建模
Statistical modeling of pneumothorax deformation by mapping CT and cone-beam CT images
论文作者
论文摘要
在这项研究中，我们使用成对的锥形梁计算机断层扫描（CT）图像引入了用于气胸变形的统计建模方法。我们为形状变化设计了一个可变形的网格登记框架，涉及肺的非线性变形和旋转。带有局部对应的注册网格可用于胸腔镜手术中的外科指导，也可以适用于具有患者间变化的统计变形模型。此外，提出了一个基于内核的变形学习框架，以从术前CT模型中重建肺部的术中肺泡状态。本文报告了基于内核变形框架的气胸变形和评估结果的发现。
In this study, we introduce statistical modeling methods for pneumothorax deformation using paired cone-beam computed tomography (CT) images. We designed a deformable mesh registration framework for shape changes involving non-linear deformation and rotation of the lungs. The registered meshes with local correspondences are available for both surgical guidance in thoracoscopic surgery and building statistical deformation models with inter-patient variations. In addition, a kernel-based deformation learning framework is proposed to reconstruct intraoperative deflated states of the lung from the preoperative CT models. This paper reports the findings of pneumothorax deformation and evaluation results of the kernel-based deformation framework.
