Image reconstruction in peripheral and central regions-of-interest and data redundancy
Image reconstruction in peripheral and central regions-of-interest and data redundancy
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DOI：
10.1118/1.1844171
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发表时间：
2005-03-01
期刊：
影响因子：
3.8
通讯作者：
Xia, D
中科院分区：
文献类型：
--
作者：
Pan, XC;Zou, Y;Xia, D
已经开发出用于在感兴趣区域（ROI）内从扇形束数据重建图像的算法，该数据少于重建整个图像所需的数据。然而，这些算法不接受截断的数据。在这项工作中，我们研究了使用所谓的扇形束反投影过滤（BPF）算法从包含截断的扇形束数据中精确重建 ROI 图像。我们还推广了扇形束 BPF 算法，以利用截断的扇形束数据中固有的冗余信息。由于平行光束扫描可以解释为扇形光束扫描的特殊情况，基于扇形光束BPF算法，我们推导了一种平行光束BPF算法，用于从截断的平行光束数据中精确重建ROI图像。此外，我们研究了两种类型的独特 ROI（分别称为外围和中心 ROI）内的图像重建，这些 ROI 来自包含截断的扇形束数据，并讨论了它们潜在的临床应用。结果可以很容易地推广到根据圆形和螺旋锥形束扫描中获取的数据重建 3D ROI 图像。它们还可以扩展到解决具有一般轨迹的并行、扇形和锥束扫描中的 ROI 图像重建问题。这项工作不仅对 CT 的临床和动物成像应用具有重要意义，而且还可能在其他成像方式中找到应用。 (c) 2005 年美国医学物理学家协会。
Algorithms have been developed for image reconstruction within a region-of-interest (ROI) from fan-beam data less than that required for reconstructing the entire image. However, these algorithms do not admit truncated data. In this work, we investigate exact ROI-image reconstruction from fan-beam data containing truncations by use of the so-called fan-beam backprojection-filtration (BPF) algorithm. We also generalize the fan-beam BPF algorithm to exploit redundant information inherent in the truncated fan-beam data. Because the parallel-beam scan can be interpreted as a special case of the fan-beam scan, based upon the fan-beam BPF algorithm, we derive a parallel-beam BPF algorithm for exactly reconstructing ROI images from truncated parallel-beam data. Furthermore, we investigate image reconstruction within two types of distinctive ROIs, which are referred to as the peripheral and central ROIs, respectively, from fan-beam data containing truncations and discuss their potential clinical applications. The results can readily be generalized to reconstructing 3D ROI images from data acquired in circular and helical cone-beam scan. They can also be extended to address ROI-image-reconstruction problems in parallel-, fan-, and cone-beam scans with general trajectories. The work not only has significant implications for clinical and animal-imaging applications of CT, but also may find applications in other imaging modalities. (c) 2005 American Association of Physicists in Medicine.