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首页> 外文期刊>Medical Physics >A BPF-FBP tandem algorithm for image reconstruction in reverse helical cone-beam CT.
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A BPF-FBP tandem algorithm for image reconstruction in reverse helical cone-beam CT.

机译：用于反向螺旋锥束CT图像重建的BPF-FBP串联算法。

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PURPOSE: Reverse helical cone-beam computed tomography (CBCT) is a scanning configuration for potential applications in image-guided radiation therapy in which an accurate anatomic image of the patient is needed for image-guidance procedures. The authors previously developed an algorithm for image reconstruction from nontruncated data of an object that is completely within the reverse helix. The purpose of this work is to develop an image reconstruction approach for reverse helical CBCT of a long object that extends out of the reverse helix and therefore constitutes data truncation. METHODS: The proposed approach comprises of two reconstruction steps. In the first step, a chord-based backprojection-filtration (BPF) algorithm reconstructs a volumetric image of an object from the original cone-beam data. Because there exists a chordless region in the middle of the reverse helix, the image obtained in the first step contains an unreconstructed central-gap region. In the second step, the gap region is reconstructed by use of a Pack-Noo-formula-based filteredback-projection (FBP) algorithm from the modified cone-beam data obtained by subtracting from the original cone-beam data the reprojection of the image reconstructed in the first step. RESULTS: The authors have performed numerical studies to validate the proposed approach in image reconstruction from reverse helical cone-beam data. The results confirm that the proposed approach can reconstruct accurate images of a long object without suffering from data-truncation artifacts or cone-angle artifacts. CONCLUSIONS: They developed and validated a BPF-FBP tandem algorithm to reconstruct images of a long object from reverse helical cone-beam data. The chord-based BPF algorithm was utilized for converting the long-object problem into a short-object problem. The proposed approach is applicable to other scanning configurations such as reduced circular sinusoidal trajectories.
机译：目的：反向螺旋锥束计算机断层扫描（CBCT）是一种用于图像引导放射治疗中潜在应用的扫描配置，其中图像引导程序需要患者的准确解剖图像。作者先前开发了一种算法，用于从完全在反向螺旋内的对象的非截断数据重建图像。这项工作的目的是为长对象的反螺旋CBCT开发一种图像重建方法，该对象从反螺旋伸出，因此构成了数据截断。方法：所提出的方法包括两个重建步骤。第一步，基于和弦的反投影滤波（BPF）算法从原始锥束数据重建对象的体积图像。由于在反向螺旋的中间存在一个无弦区域，因此第一步获得的图像包含一个未重建的中心间隙区域。在第二步中，通过使用基于Pack Noo公式的过滤反投影（FBP）算法从通过从原始锥束数据中减去图像的重投影获得的修改后的锥束数据中重建间隙区域。在第一步中重建。结果：作者进行了数值研究，以验证从反向螺旋锥束数据重建图像的方法。结果证实，所提出的方法可以重建长对象的准确图像，而不会遭受数据截断伪影或圆锥伪影的困扰。结论：他们开发并验证了BPF-FBP串联算法，用于从反向螺旋锥束数据重建长物体的图像。利用基于和弦的BPF算法将长对象问题转换为短对象问题。所提出的方法适用于其他扫描配置，例如减小的正弦曲线轨迹。

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