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Three-dimensional reconstruction algorithm for a reverse geometry volumetric CT system with a large array scanned source

机译:具有大阵列扫描源的反向几何体CT系统的三维重建算法

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We have proposed a CT system design to rapidly produce volumetric images with negligible cone beam artifacts. The investigated system uses a large array scanned source with a smaller array of fast detectors. The x-ray source is electronically steered across a 2D target every few milliseconds as the system rotates. The proposed reconstruction algorithm for this system is a modified 3D filtered backprojection method. The data are rebinned into 2D parallel ray projections, most of which are tilted with respect to the axis of rotation. Each projection is filtered with a 2D kernel and backprojected onto the desired image matrix. To ensure adequate spatial resolution and low artifact level, we rebin the data onto an array that has sufficiently fine spatial and angular sampling. Due to finite sampling in the real system, some of the rebinned projections will be sparse, but we hypothesize that the large number of views will compensate for the data missing in a particular view. Preliminary results using simulated data with the expected discrete sampling of the source and detector arrays suggest that high resolution (<0.5 mm in all directions) images can be obtained in a single rotation with the proposed system and reconstruction algorithm.
机译:我们提出了一种CT系统设计,以快速产生具有可忽略的锥束伪影的体积图像。被研究的系统使用大型阵列扫描源和小型快速检测器阵列。随着系统旋转,X射线源每隔几毫秒就以电子方式操纵2D目标。针对该系统提出的重建算法是一种改进的3D滤波反投影方法。数据重新组合为2D平行射线投影,其中大部分相对于旋转轴倾斜。每个投影都使用2D内核进行过滤,然后反投影到所需的图像矩阵上。为了确保足够的空间分辨率和较低的伪影水平,我们将数据重新绑定到具有足够精细的空间和角度采样的数组上。由于实际系统中的采样有限,因此某些重新组合的投影将很稀疏,但是我们假设大量的视图将补偿特定视图中丢失的数据。使用模拟数据以及对源阵列和检测器阵列的预期离散采样得出的初步结果表明,使用所提出的系统和重构算法,可以在单次旋转中获得高分辨率(在所有方向上<0.5 mm)的图像。

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