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A Helical Cone Beam Algorithm for Large Cone Angles with Minimal Overscan

机译:一种螺旋锥梁算法,用于大型过度扫描的大锥角

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Three-dimensional image reconstruction from axially truncated helical cone beam projections has been under active investigation. It is known that exact helical cone beam reconstruction can be achieved using only the data in the Tarn window. Based on a property of filtering truncated cone beam projections discovered by Kudo et al, we proposed a simple helical cone beam algorithm for the long object problem by invoking virtual infinite detectors at both ends of the helix. However, Tarn has suggested that the derivation using virtual infinite detectors were imprecise as well as the calculated overscan and complexity analysis. In this paper, we provide a new derivation to validate the simple algorithm based on a novel definition of a short object within the long object. We show that the proposed algorithm is essentially a simplified version of Defrise's ZB method. The minimal overscan we derive for the simple algorithm is the same as that of ZB method. Although simulation results indicate that a smaller overscan is required for the proposed algorithm relative to the ZB method, we lack an analytical verification. A modified 3D Shepp-Logan phantom and a disc phantom are used to validate the algorithm.
机译:轴向截头螺旋锥梁突起的三维图像重建已经在积极调查中。众所周知,只能使用塔恩窗口中的数据来实现精确的螺旋锥形光束重建。基于Kudo等人发现的截断锥形光束投影的属性,我们通过调用螺旋两端的虚拟无限检测器来提出一个简单的螺旋锥形光束算法。然而,塔恩建议使用虚拟无限探测器的推导是不精确的以及计算的过扫描和复杂性分析。在本文中,我们提供了一种新的推导,以基于长对象内的短对象的新颖定义来验证简单算法。我们表明,该算法基本上是Defrise的ZB方法的简化版本。我们推导出简单算法的最小过扫描与ZB方法的过扫描。虽然仿真结果表明,所提出的算法相对于ZB方法需要较小的过扫描,但我们缺乏分析验证。修改后的3D Shepp-logan Phantom和光盘幻像用于验证算法。

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