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A statistical approach to high-quality CT reconstruction at low radiation doses for real-time guidance and navigation

机译:低辐射剂量高质量CT重建的统计方法,用于实时指导和导航

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The advent of 64-slice computed tomography (CT) with high-speed scanning makes CT a highly attractive and powerful tool for navigating image-guided procedures. For interactive navigation, scanning will need to be performed over extended time periods or even continuously. However, continuous CT is likely to expose the patient and the physician to potentially unsafe levels of radiation. Before CT can be used appropriately for navigational purposes, the dose problem must be solved. Simple dose reduction is not adequate, because it degrades image quality. This problem can be overcome if the traditional filtered back-projection (FBP) reconstruction is replaced with the maximum likelihood expectation maximization (MLEM) approach. MLEM is more accurate in that it incorporates Poisson statistics of the noisy projection data, especially at low doses. Our study shows that MLEM reconstruction is able to reduce x-ray dose from 200 to 11 mAs (the lowest dose-simulator setting in the present study) without significant image degradation. Taking advantage of modern CT scanners and specialized hardware, it may be possible to perform continuous CT scanning at acceptable radiation doses for intraoperative visualization and navigation.
机译:具有高速扫描的64切片计算机断层扫描(CT)的出现使CT成为导航图像导航程序的高度吸引力和强大的工具。对于交互式导航,需要在长时间段甚至连续执行扫描。然而,连续CT可能将患者和医生暴露给潜在的不安全水平。在CT可以适当地用于导航目的之前,必须解决剂量问题。简单的剂量减少不足,因为它会降低图像质量。如果以最大似然预期最大化(MLEM)方法替换传统的过滤的背投(FBP)重建,则可以克服此问题。 MLEM更准确,因为它包含了嘈杂投影数据的泊松统计,尤其是低剂量。我们的研究表明,MLEM重建能够将X射线剂量从200到11 MAS减少(本研究中最低剂量模拟器设置),而无需显着的图像劣化。利用现代CT扫描仪和专用硬件,可以在可接受的辐射剂量下进行连续CT扫描,以进行术中可视化和导航。

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