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首页> 外文期刊>Medical Physics >WE‐AB‐207A‐08: BEST IN PHYSICS (IMAGING): Advanced Scatter Correction and Iterative Reconstruction for Improved Cone‐Beam CT Imaging On the TrueBeam Radiotherapy Machine
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WE‐AB‐207A‐08: BEST IN PHYSICS (IMAGING): Advanced Scatter Correction and Iterative Reconstruction for Improved Cone‐Beam CT Imaging On the TrueBeam Radiotherapy Machine

机译:WE-AB-207A-08:最佳物理(成像):高级散点校正和迭代重建,用于改进真空放射治疗机上的锥形梁CT成像

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摘要

Purpose: To improve CBCT image quality for image‐guided radiotherapy by applying advanced reconstruction algorithms to overcome scatter, noise, and artifact limitations Methods: CBCT is used extensively for patient setup in radiotherapy. However, image quality generally falls short of diagnostic CT, limiting soft‐tissue based positioning and potential applications such as adaptive radiotherapy. The conventional TrueBeam CBCT reconstructor uses a basic scatter correction and FDK reconstruction, resulting in residual scatter artifacts, suboptimal image noise characteristics, and other artifacts like cone‐beam artifacts. We have developed an advanced scatter correction that uses a finite‐element solver (AcurosCTS) to model the behavior of photons as they pass (and scatter) through the object. Furthermore, iterative reconstruction is applied to the scatter‐corrected projections, enforcing data consistency with statistical weighting and applying an edge‐preserving image regularizer to reduce image noise. The combined algorithms have been implemented on a GPU. CBCT projections from clinically operating TrueBeam systems have been used to compare image quality between the conventional and improved reconstruction methods. Planning CT images of the same patients have also been compared. Results: The advanced scatter correction removes shading and inhomogeneity artifacts, reducing the scatter artifact from 99.5 HU to 13.7 HU in a typical pelvis case. Iterative reconstruction provides further benefit by reducing image noise and eliminating streak artifacts, thereby improving soft‐tissue visualization. In a clinical head and pelvis CBCT, the noise was reduced by 43% and 48%, respectively, with no change in spatial resolution (assessed visually). Additional benefits include reduction of cone‐beam artifacts and reduction of metal artifacts due to intrinsic downweighting of corrupted rays. Conclusion: The combination of an advanced scatter correction with iterative reconstruction substantially improves CBCT image quality. It is anticipated that clinically acceptable reconstruction times will result from a multi‐GPU implementation (the algorithms are under active development and not yet commercially available). All authors are employees of and (may) own stock of Varian Medical Systems.
机译:目的:通过应用先进的重建算法来提高图像引导放射疗法的CBCT图像质量来克服散射,噪声和伪影限制方法:CBCT用于放射疗法中的患者设置。然而,图像质量通常短缺诊断CT,限制了基于软组织的定位和潜在应用,例如自适应放射疗法。传统的Truebeam CBCT Reconstructor使用基本的散射校正和FDK重建,从而导致残余散射伪像,次优图像噪声特性和锥形束伪像等其他伪像。我们开发了一种先进的分散校正,它使用有限元求解器(Acuroscts)来模拟光子的行为,因为它们通过物体(和分散)。此外,迭代重建被应用于分散校正的投影,从而强制使用统计加权和应用边缘保留图像规范器来降低图像噪声的数据一致性。组合算法已经在GPU上实现。从临床操作的CBCT投影已经用于比较传统和改进的重建方法之间的图像质量。还比较了同一患者的规划CT图像。结果:先进的散点校正消除着阴影和不均匀性伪影,在典型的骨盆案中将散射伪像从99.5胡后减少到13.7胡氏。迭代重建通过减少图像噪声和消除条纹伪像来提供进一步的益处,从而改善软组织可视化。在临床头和骨盆CBCT中,噪声分别降低了43%和48%,空间分辨率没有变化(视觉上评估)。额外的益处包括由于腐败的损坏的内在次数,包括减少锥形束伪影和金属伪影的减少。结论:具有迭代重建的先进分散校正的组合显着提高了CBCT图像质量。预计临床上可接受的重建时间将由多GPU实现产生(算法在主动开发和尚未商业上提供)。所有作者都是员工和(五月)的Varian医疗系统。

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