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CT image reconstruction algorithms: A comprehensive survey

机译:CT图像重建算法:综合调查

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摘要

With the application of computed tomography (CT) technology to the clinic diagnosis and image-guided surgeries, various CT image reconstruction algorithms were presented for enhancing CT image quality based on different dose acquisitions. For wide and effective uses, this paper is going to provide a comprehensive survey on representative CT image reconstruction algorithms, in the light of low-dose and high-dose acquisitions and algorithm performance, including their merits and limitations. The algorithm performance and complexity are discussed under Gaussian and Poisson noise environments, respectively. Finally, experimental results analyze the efficiency and performance of several popular CT image reconstruction algorithms in terms of computation time and accuracy.
机译:随着计算机断层扫描(CT)技术在临床诊断和图像引导的手术中,介绍了各种CT图像重建算法,用于提高基于不同剂量采集的CT图像质量。对于广泛且有效的用途,本文将根据低剂量和高剂量采集和算法性能,包括它们的优点和局限性,为代表性CT图像重建算法提供全面的调查。在高斯和泊松噪声环境下讨论了算法性能和复杂性。最后,实验结果分析了几个流行CT图像重建算法的效率和性能,以计算时间和准确性。

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