首页> 外文会议>Conference on physics of medical imaging >Radiation dose reduction in dual-energy CT using Prior Image Constrained Compressed Sensing: Image quality evaluation in virtual monochromatic imaging
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Radiation dose reduction in dual-energy CT using Prior Image Constrained Compressed Sensing: Image quality evaluation in virtual monochromatic imaging

机译:使用先验图像约束的压缩传感在双能CT中降低辐射剂量:虚拟单色成像中的图像质量评估

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Dual-energy CT has the potential to overcome many of the limitations of routine single-energy CT scanning, such as the potential to provide quantitative imaging via electron density, effective atomic number, and virtual monochromatic imaging and the potential to completely eliminate beam-hardening artifacts via projection space decomposition. While the potential clinical benefit is strong, a possible barrier to more frequent clinical use of dual-energy CT scanning is radiation dose for high quality images. While image quality in dual-energy CT depends on a number of factors, including dose partitioning, the choice of kV pair, and the amount of pre-filtration used, a number of strategies have been employed to improve image quality in dual-energy CT. Four main methods are: (1) increase the radiation dose, (2) increase the slice thickness, (3) perform voxel averaging, or (4) use noise reduction algorithms. While these methods offer options for improving image quality, ideally, it is desirable not to have to increase radiation dose or sacrifice spatial resolution (in the x-y plane or in the z-direction). Therefore, it is the purpose of this work to investigate the application of Prior Image Constrained Compressed Sensing (PICCS) in dual-energy CT to reduce radiation dose without sacrificing image quality. In particular, we investigate the use of PICCS in dual-energy CT to generate material density images at half the radiation dose of a commonly used gemstone spectral imaging (GSI) protocol. Material density images are generated using half the radiation dose, and virtual monochromatic images are generated as a linear combination of half-dose material density images. In this abstract, qualitative and quantitative evaluation are provided to assess the performance of PICCS relative to FBP images at the full dose level and at the half dose level.
机译:双能CT有可能克服常规单能CT扫描的许多限制,例如通过电子密度,有效原子序数和虚拟单色成像提供定量成像的潜力,以及完全消除束硬化的潜力通过投影空间分解的伪影。尽管潜在的临床益处很强,但双能CT扫描更频繁地临床使用的可能障碍是高质量图像的辐射剂量。尽管双能CT的图像质量取决于许多因素,包括剂量分配,kV对的选择以及所使用的预过滤量,但已采用多种策略来改善双能CT的图像质量。四种主要方法是:(1)增加辐射剂量,(2)增加切片厚度,(3)执行体素平均,或(4)使用降噪算法。虽然这些方法提供了改善图像质量的选项,但理想情况下,希望不必增加辐射剂量或牺牲空间分辨率(在x-y平面或z方向)。因此,本工作的目的是研究先验图像约束压缩传感(PICCS)在双能CT中的应用,以在不牺牲图像质量的情况下减少辐射剂量。特别是,我们研究了在双能CT中使用PICCS来生成材料密度图像的技术,该材料密度图像的辐射剂量是常用宝石光谱成像(GSI)协议的一半。使用一半的辐射剂量生成材料密度图像,并且将虚拟的单色图像生成为半剂量材料密度图像的线性组合。在此摘要中,提供了定性和定量评估,以评估PICCS在全剂量水平和半剂量水平下相对于FBP图像的性能。

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