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Reconstruction-plane-dependent weighted FDK algorithm for cone beam volumetric CT

机译:锥面体积CT的依赖于重建平面的加权FDK算法

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The original FDK algorithm has been extensively employed in medical and industrial imaging applications. With anincreased cone angle, cone beam (CB) artifacts in images reconstructed by the original FDK algorithm deteriorate, sincethe circular trajectory does not satisfy the so-called data sufficiency condition (DSC). A few “circular plus” trajectorieshave been proposed in the past to reduce CB artifacts by meeting the DSC. However, the circular trajectory has distinctadvantages over other scanning trajectories in practical CT imaging, such as cardiac, vascular and perfusion applications.In addition to looking into the DSC, another insight into the CB artifacts of the original FDK algorithm is theinconsistency between conjugate rays that are 180° apart in view angle. The inconsistence between conjugate rays ispixel dependent, i.e., it varies dramatically over pixels within the image plane to be reconstructed. However, the originalFDK algorithm treats all conjugate rays equally, resulting in CB artifacts that can be avoided if appropriate viewweighting strategy is exercised. In this paper, a modified FDK algorithm is proposed, along with an experimentalevaluation and verification, in which the helical body phantom and a humanoid head phantom scanned by a volumetricCT (64×0.625 mm) are utilized. Without extra trajectories supplemental to the circular trajectory, the modified FDKalgorithm applies reconstruction-plane-dependent view weighting on projection data before 3D backprojection, whichreduces the inconsistency between conjugate rays by suppressing the contribution of one of the conjugate rays with alarger cone angle. Both computer-simulated and real phantom studies show that, up to a moderate cone angle, the CBartifacts can be substantially suppressed by the modified FDK algorithm, while advantages of the original FDKalgorithm, such as the filtered backprojection algorithm structure, 1D ramp filtering, and data manipulation efficiency,can be maintained.
机译:原始的FDK算法已被广泛用于医学和工业成像应用中。随着锥角的增加,由于圆形轨迹不满足所谓的数据充分性条件(DSC),通过原始FDK算法重建的图像中的锥束(CB)伪影会恶化。过去已经提出了一些“圆形加”轨迹,以通过满足DSC来减少CB伪影。然而,圆形轨迹在实际CT成像中的其他扫描轨迹(例如心脏,血管和灌注应用)具有明显的优势。除了研究DSC之外,对原始FDK算法的CB伪像的另一种见解是共轭射线之间的不一致视角相差180°。共轭射线之间的不一致性取决于像素,即,它在要重建的图像平面内的像素上变化很大。但是,原始的FDK算法会平等地对待所有共轭射线,从而导致CB伪影,如果采用适当的视域加权策略,就可以避免这种伪影。提出了一种改进的FDK算法,并进行了实验评估和验证,利用了体积CT(64×0.625 mm)扫描的螺旋体模型和人形头部模型。在没有补充圆形轨迹的额外轨迹的情况下,改进的FDK算法在3D反投影之前对投影数据应用了依赖于重构平面的视图权重,这通过抑制具有较大锥角的共轭射线之一的贡献来减少共轭射线之间的不一致。计算机仿真和真实幻像研究均表明,在中等锥角范围内,修改后的FDK算法可充分抑制CBartifact,而原始FDK算法的优势(例如滤波后投影算法结构,一维斜波滤波和可以保持数据处理效率。

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    Xiangyang Tang; Jiang Hsieh;

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    Applied Science Laboratory GE Healthcare Technologies 3000 N. Grandview Blvd. W-1190 Waukesha WI 53188 USA xiangyang.tang@med.ge.com phone: (262) 312-7643 Fax: (262) 312-7690;

    Applied Science Laboratory GE Healthcare Technologies 3000 N. Grandview Blvd. W-1190 Waukesha WI 53188 USA;

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