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An RIP-based evaluation method for candidate next generation cardiac CT architectures with carbon nanotube x-ray source

机译:一种基于RIP的候选下一代心脏CT架构与碳纳米管X射线源的划分评价方法

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Despite impressive advancements in computed tomography (CT) technology in recent years, there are still critical andimmediate needs in cardiac CT in terms of high spatial resolution, high temporal resolution and low radiation dose.Because carbon nanotube (CNT) x-ray sources can be compactly integrated, this technology can be used for multisource or stationary system to improve temporal resolution. To avoid the rotation of x-ray source, a lot of source-detector pairs are needed in a stationary CNT-based x-ray system. Limited by the space and costs, the number of source-detector pairs could not be too large, which results in a few-view scan problem. The reconstruction can be modeled as a lsub1/sub-norm minimization problem, which usually can be solved by compressive sensing (CS) based algorithms. To evaluate the data completeness of candidate next generation cardiac CT architectures with CNT x-ray source, based on the fact that smaller restricted isometry property (RIP) constants lead to a better lsub1/sub-norm recovery, we construct a measurement related to the RIP constants. The results show that the proposed RIP-based evaluation method coincides with the known CT reconstruction theory. This method is simple and easy to be implemented for different CT scan architectures, and it provides a practical tool to evaluate the data completeness in the framework of lsub1/sub-norm recovery theory without a specific CS-based reconstruction algorithm.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
机译:尽管近年来计算机断层扫描(CT)技术令人印象深刻,但在高空间分辨率,高颞部分辨率和低辐射剂量方面,心脏CT仍然存在危急的安迪姆所需的需求。由于碳纳米管(CNT)X射线源可以是紧凑型集成,该技术可用于多源或静止系统,以提高时间分辨率。为了避免X射线源的旋转,在静止的基于CNT的X射线系统中需要大量的源检测器对。受空间和成本的限制,源检测器对的数量不能太大,这导致几视图扫描问题。重建可以被建模为L 1 -norm最小化问题,这通常可以通过基于压缩感测(CS)的算法来解决。为了评估候选下一代心脏CT架构与CNT X射线源的数据完整性,基于较小的受限制的等距特性(RIP)常数导致更好的L 1 -norm恢复,我们构造与RIP常量相关的测量。结果表明,所提出的基于RIP的评价方法与已知的CT重建理论一致。此方法简单且易于实现不同的CT扫描架构,它提供了一种实用的工具,可以在没有特定的基于CS的重建的情况下评估L 1 -norm恢复理论的框架中的数据完整性算法。©(2012)照片光学仪表工程师(SPIE)的版权协会。仅供个人使用的摘要下载。

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