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首页> 外文期刊>Medical Physics >Accelerated fast iterative shrinkage thresholding algorithms for sparsity-regularized cone-beam CT image reconstruction
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Accelerated fast iterative shrinkage thresholding algorithms for sparsity-regularized cone-beam CT image reconstruction

机译:稀疏正则化锥束CT图像重建的加速快速迭代收缩阈值算法

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Purpose: The development of iterative image reconstruction algorithms for cone-beam computed tomography (CBCT) remains an active and important research area. Even with hardware acceleration, the overwhelming majority of the available 3D iterative algorithms that implement nonsmooth regularizers remain computationally burdensome and have not been translated for routine use in time-sensitive applications such as image-guided radiation therapy (IGRT). In this work, two variants of the fast iterative shrinkage thresholding algorithm (FISTA) are proposed and investigated for accelerated iterative image reconstruction in CBCT.
机译:目的:为锥束计算机断层扫描(CBCT)开发迭代图像重建算法仍然是活跃而重要的研究领域。即使有了硬件加速,实现非平滑正则化器的绝大多数可用3D迭代算法仍然在计算上很繁琐,并且还没有转换为对时间敏感的应用程序常规使用,例如图像引导放射治疗(IGRT)。在这项工作中,提出并研究了快速迭代收缩阈值算法(FISTA)的两个变体,用于CBCT中的加速迭代图像重建。

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