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Reconstructible Volume for Cone-beam CT with a Reduced Saddle Trajectory

机译：具有缩小鞍座轨迹的锥形梁CT的重建体积

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Saddle trajectory can be potentially useful for cardiac imaging and C-arm imaging. It can acquire cone-beam data sufficient for exact 3D image reconstruction. In last few years, a lot of effort has been devoted to reconstructing region of interest (ROI)-image from the data acquired with a full saddle scan. Recently we have proposed a reduced-scan approach in which data are collected only over an open portion of the saddle trajectory. Obviously, for an ROI-image reconstruction, the proposed reduced-scan approach can use less cone-beam data than what acquired in a full saddle scan. In this work, we have applied the chord-based algorithm and the extended polygon-based algorithm to reconstruct image for a reduced-scan saddle trajectory. Based upon the data requirements for both algorithms, we have determined the reconstructible ROI for a given reduced-scan saddle trajectory. Moreover, the computer-simulation studies have been presented to validate and evaluate the theoretically predicted reconstructible ROI by use of the chord-based and the extended polygon-based algorithms.
机译：骑马轨迹可能对心脏成像和C臂成像有用。它可以获得足以用于精确的3D图像重建的锥形光束数据。在过去的几年里，很多努力已经致力于重建利益区域（ROI） - 以完整的骑马扫描所获得的数据重建。最近我们提出了一种减少的扫描方法，其中数据仅在鞍座轨迹的开口部分上收集。显然，对于ROI图像重建，所提出的减少扫描方法可以使用较少的锥形波束数据而不是在完整鞍扫描中获取的锥形束数据。在这项工作中，我们已经应用了基于和弦的算法和基于扩展的基于多边形的算法来重建扫描鞍轨迹的图像。基于两个算法的数据要求，我们已经确定了给定的扫描鞍轨迹的重建投资回报率。此外，已经提出了计算机仿真研究以通过使用基于和弦和扩展的基于多边形的算法来验证和评估理论上预测的重建投资回报率。

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