ICT Research Center, Key Laboratory of Optoelectronic Technology and System of the Education Ministry of China, Chongqing University, Chongqing, China.
J Xray Sci Technol. 2010;18(4):353-67. doi: 10.3233/XST-2010-0266.
This paper is about inspecting large and long object using dual helical cone-beam computed tomography (CT) and Katsevich-type reconstruction algorithm. Conventional cone-beam helical industrial CT imaging is based on the assumption that the entire cross-section of an object is illuminated with x-rays at each view angle. The field of view is limited by the width of planar detector. As an alternative, this paper developed a dual-helical scanning. When scanning at each helix, part of cross-section is covered by x-ray at each view angle. During reconstruction, Katsevich-type algorithm is applied, which does not rebin projection data. The algorithm is approximate, as it applies Hilbert transform on truncated projection. The reconstruction result is better than extended FDK algorithm, especially for large helical pitch.
本文研究了使用双螺旋锥形束计算机断层扫描(CT)和 Katsevich 重建算法检测大型长物体。传统的锥形束螺旋工业 CT 成像基于这样的假设,即在每个视角下,整个物体的横截面都被 X 射线照射。视场的大小受到平面探测器宽度的限制。作为替代方案,本文提出了一种双螺旋扫描方法。在每条螺旋线上扫描时,在每个视角下,部分横截面被 X 射线覆盖。在重建过程中,应用了 Katsevich 型算法,该算法不对投影数据进行重排。该算法是近似的,因为它在截断的投影上应用了 Hilbert 变换。与扩展的 FDK 算法相比,重建结果更好,尤其是对于大螺旋节距。