On-the-fly geometrical calibration fine-tuning of a mobile C-arm CBCT system
On-the-fly geometrical calibration fine-tuning of a mobile C-arm CBCT system
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DOI：
10.1515/teme-2015-0059
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发表时间：
2016-01
期刊：
影响因子：
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通讯作者：
Wissam El Hakimi;G. Sakas
中科院分区：
文献类型：
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作者：
Wissam El Hakimi;G. Sakas
摘要C型臂锥形束计算机断层扫描（CBCT）提供了类似CT的3D成像功能，同时适用于介入治疗套件。3D图像基于在C形臂围绕被研究对象旋转期间收集的2D投影重建。必须为每个采集的2D图像提供准确的几何投影参数，否则可能在重建的3D体积中引起显著的CT伪影。通常，使用X射线体模的预校准（离线校准）是在C形臂运动可再现的假设下执行的。因此，不考虑由于移动的C形臂CBCT系统的开放式设计引起的随机未对准。在这篇文章中，我们介绍了一种新的在线校准算法来补偿随机机械误差。仿真和真实的数据证明了所提出的方法的性能。
Abstract C-arm cone-beam computed tomography (CBCT) offers CT-like 3D imaging capabilities while being appropriate for interventional suites. 3D images are reconstructed based on 2D projections gathered during the rotation of the C-arm around the object under investigation. It is mandatory to provide accurate geometrical projection parameters for each acquired 2D image, otherwise significant CT artifacts may be induced in the reconstructed 3D volume. Usually, a pre-calibration (offline calibration) using an X-ray phantom is preformed under the assumption that the C-arm motion is reproducible. Thereby, stochastic misalignments due to the open design of mobile C-arm CBCT systems are not considered. In this article we introduce a novel online calibration algorithm to compensate stochastic mechanical inaccuracies. The performance of the proposed method is demonstrated on simulated and real data.