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Intensity-Based 3D-2D Mesh-to-Image Registration Using Mesh-Based Digitally Reconstructed Radiography

机译:使用基于网格的数字重建射线照相技术进行基于强度的3D-2D网格到图像配准

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Intensity-based 3D-2D registration is a well-established technique shown to be effective for many clinical applications. However, it is valid mainly for 3D Computed Tomography (CT) volume to 2D X-ray image registration because the computation of volume-based Digitally Reconstructed Radiography (DRR) relies on the linear relationship between CT's intensity and the attenuation coefficient of the underlying structure for X-ray. This paper introduces a mesh-based DRR Tenderer that simulates realistic-looking X-ray images from 3D meshes, which can be used to replace conventional volume-based DRR in intensity-based 3D-2D registration for 3D volumes from various image modalities. The proposed renderer calculates the travel distance of a given ray within the mesh, and computes X-ray attenuation based on the travel distance and the object's attenuation property. The proposed method also uses a novel ray-casting strategy that takes GPU architecture into consideration for high computational efficiency. Validation results show that the proposed mesh-based DRR simulates X-ray images with a high fidelity, and intensity-based 3D-2D registration using the resulting mesh-based DRR achieves satisfactory results on clinical data.
机译:基于强度的3D-2D配准是一种行之有效的技术,对许多临床应用都是有效的。但是,它主要适用于3D计算机断层扫描(CT)体积到2D X射线图像配准,因为基于体积的数字重建射线照相(DRR)的计算依赖于CT强度与基础结构的衰减系数之间的线性关系X光片本文介绍了一种基于网格的DRR渲染器,该渲染器可模拟3D网格中看起来逼真的X射线图像,可用于在基于强度的3D-2D配准中替换常规的基于体积的DRR,从而对来自各种图像模态的3D体积进行配准。拟议的渲染器计算给定射线在网格内的传播距离,并基于传播距离和对象的衰减特性计算X射线衰减。所提出的方法还使用了一种新颖的射线投射策略,该策略考虑了GPU架构以实现高计算效率。验证结果表明,提出的基于网格的DRR以高保真度模拟X射线图像,并且使用所得基于网格的DRR进行的基于强度的3D-2D配准在临床数据上获得令人满意的结果。

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