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Exact reconstruction of volumetric images in reverse helical cone-beam CT

机译:反向螺旋锥束CT中体积图像的精确重建

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摘要

Helical scanning configuration has been used widely in diagnostic cone-beam computed tomography (CBCT) for acquiring data sufficient for exact image reconstruction over an extended volume. In image-guided radiation therapy (IGRT) and other applications of CBCT, it can be difficult, if not impossible, to implement mechanically a multiple-turn helical trajectory on the imaging systems due to hardware constraints. However, imaging systems in these applications often allow for the implementation of a reverse helical trajectory in which the rotation direction changes between two consecutive turns. Because the reverse helical trajectory satisfies Tuy’s condition, when projections of the imaged object are nontruncated, it yields data sufficient for exact image reconstruction within the reverse helix volume. The recently developed chord-based algorithms such as the backprojection filtration (BPF) algorithm can readily be applied to reconstructing images on chords of a reverse helical trajectory, and they can thus reconstruct an image within a volume covered by the chords. Conversely, the chord-based algorithms cannot reconstruct images within regions that are not intersected by chords. In a reverse helix volume, as shown below, chordless regions exist in which no images can thus be reconstructed by use of the chord-based algorithms. In this work, based upon Pack–Noo’s formula, a shift-invariant filtered backprojection (FBP) algorithm is derived for exact image reconstruction within the reverse helix volume, including the chordless region. Numerical studies have also been conducted to demonstrate the chordless region in a reverse helix volume and to validate the FBP algorithm for image reconstruction within the chordless region. Results of the numerical studies confirm that the FBP algorithm can exactly reconstruct an image within the entire reverse helix volume, including the chordless region. It is relatively straightforward to extend the FBP algorithm to reconstruct images for general trajectories, including reverse helical trajectories with variable pitch, tilted axis, and∕or additional segments between turns.
机译:螺旋扫描配置已广泛用于诊断锥形束计算机断层扫描(CBCT)中,以获取足以在扩展体积上进行精确图像重建的数据。在图像引导放射治疗(IGRT)和CBCT的其他应用中,由于硬件的限制,可能很难(即使不是不可能)在成像系统上机械地实现多匝螺旋轨迹。然而,在这些应用中的成像系统通常允许实现反向螺旋轨迹,其中旋转方向在两个连续的匝之间变化。因为反向螺旋轨迹满足Tuy的条件,所以当成像对象的投影不被截断时,它会产生足以在反向螺旋体积内进行精确图像重建的数据。最近开发的基于和弦的算法(例如反投影过滤(BPF)算法)可以轻松地应用于在反向螺旋轨迹的和弦上重建图像,因此它们可以在和弦覆盖的体积内重建图像。相反,基于和弦的算法无法在未和弦相交的区域内重建图像。如下所示,在反向螺旋体积中,存在无弦区域,在该区域中无法使用基于和弦的算法来重建图像。在这项工作中,根据Pack–Noo的公式,推导了位移不变滤波反投影(FBP)算法,用于在反螺旋体积(包括无弦区域)内进行精确的图像重建。还进行了数值研究,以证明反向螺旋体积中的无弦区域,并验证了无弦区域内图像重建的FBP算法。数值研究结果证实,FBP算法可以在整个反向螺旋体积(包括无弦区域)内准确地重建图像。扩展FBP算法以重建一般轨迹的图像相对简单,这些轨迹包括具有可变螺距,倾斜轴和/或匝间附加段的反向螺旋轨迹。

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