Modeling Shift-Variant X-Ray Focal Spot Blur for High-Resolution Flat-Panel Cone-Beam CT.

Steven Tilley, Wojciech Zbijewski, Jeffrey H Siewerdsen, J Webster Stayman
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Abstract

Flat-panel cone-beam CT (CBCT) has been applied clinically in a number of high-resolution applications. Increasing geometric magnification can potentially improve resolution, but also increases blur due to an extended x-ray focal-spot. We present a shift-variant focal-spot blur model and incorporate it into a model-based iterative-reconstruction algorithm. We apply this algorithm to simulation and CBCT test-bench data. In a trabecular bone simulation study, we find traditional reconstruction approaches without a blur model exhibit shift-variant resolution properties that depend greatly on the acquisition protocol (e.g. short vs. full scans) and the anode angles of the rays used to reconstruct a particular region. For physical CBCT experiments focal spot blur was characterized and a spatial resolution phantom was scanned and reconstructed. In both experiments image quality using the shift-variant model was significantly improved over approaches that modeled no blur or only a shift-invariant blur, suggesting a potential means to overcome traditional CBCT spatial resolution and system design limitations.

Abstract Image

Abstract Image

高分辨率平板锥束CT偏移x射线焦斑模糊建模。
平板锥束CT (CBCT)已在临床上应用于许多高分辨率应用。增加几何放大倍数可以潜在地提高分辨率,但也增加了模糊,由于x射线焦点点的延长。我们提出了一种移位变焦斑模糊模型,并将其纳入基于模型的迭代重建算法。我们将该算法应用于仿真和CBCT试验台数据。在一项骨小梁模拟研究中,我们发现没有模糊模型的传统重建方法表现出位移变化的分辨率特性,这在很大程度上取决于采集协议(例如短扫描与全扫描)和用于重建特定区域的射线的阳极角度。在物理CBCT实验中,对焦斑模糊进行了表征,并扫描重建了空间分辨率的幻像。在这两个实验中,使用位移变量模型的图像质量明显优于不建模模糊或只建模位移不变模糊的方法,这表明了克服传统CBCT空间分辨率和系统设计限制的潜在手段。
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