Technical Note: FreeCT_ICD: An open-source implementation of a model-based iterative reconstruction method using coordinate descent optimization for CT imaging investigations.
Technical Note: FreeCT_ICD: An open-source implementation of a model-based iterative reconstruction method using coordinate descent optimization for CT imaging investigations.
复制标题
DOI：
10.1002/mp.13026
复制
发表时间：
2018-06-01
期刊：
影响因子：
3.8
通讯作者：
McNitt-Gray M
中科院分区：
文献类型：
--
作者：
Hoffman JM;Noo F;Young S;Hsieh SS;McNitt-Gray M
为了便于研究采集和重建参数对使用 CT 成像的定量成像、放射组学和 CAD 的影响，我们之前发布了传统加权滤波反投影重建的开源实现，称为 FreeCT_wFBP。我们的目的是通过使用坐标下降优化（称为 FreeCT_ICD）提供基于模型的迭代重建方法的开源实现来扩展这项工作。基于模型的迭代重建提供了大幅减少辐射剂量的潜力，但可能会带来大量的计算处理和存储要求。 FreeCT_ICD 是基于模型的迭代重建方法的开源实现，它在这些要求之间提供了合理的权衡。这是通过采用先前提出的方法来实现的，该方法允许以合理的内存要求来存储系统矩阵。该方法相当于使用遵循螺旋几何形状的旋转切片来描述衰减系数。在最初提出的版本中，旋转切片本身是使用斑点来描述的。我们用一个独特的模型取代了这种描述，该模型依赖于三线性插值以及约瑟夫方法的原理。该模型改进了内存需求，同时仍允许对传统 CT 几何结构进行高精度重建。系统矩阵按列存储，并与迭代坐标下降 (ICD) 优化相结合。 FreeCT_ICD 是一个在 Linux 平台上使用 C++ 库和开源 GNU GPL v2.0 许可证开发的重建程序。该软件能够重建螺旋 CT 扫描的原始投影数据。在这项工作中，通过重建从临床扫描仪导出的数据集来描述和评估该软件，其中包括 ACR 认证模型数据集和临床儿科胸部扫描。对于 ACR 模型，图像质量与临床重建以及使用开源 FreeCT_wFBP 软件的重建相当。儿科胸部扫描也取得了可接受的结果。此外，我们没有观察到与使用旋转切片相关的图像质量的任何有害影响。这些评估还证明了存储需求和计算需求的合理权衡。 FreeCT_ICD 是基于模型的迭代重建方法的开源实现，它扩展了之前发布的开源重建软件的功能，并提供了对临床采集的原始投影数据执行独立于供应商的重建的能力。该实现代表了存储和计算要求之间的合理权衡，并在模拟和临床图像数据集中证明了可接受的图像质量。
To facilitate investigations into the impacts of acquisition and reconstruction parameters on quantitative imaging, radiomics and CAD using CT imaging, we previously released an open source implementation of a conventional weighted filtered backprojection reconstruction called FreeCT_wFBP. Our purpose was to extend that work by providing an open-source implementation of a model-based iterative reconstruction method using coordinate descent optimization, called FreeCT_ICD. Model-based iterative reconstruction offers the potential for substantial radiation dose reduction, but can impose substantial computational processing and storage requirements. FreeCT_ICD is an open source implementation of a model-based iterative reconstruction method that provides a reasonable tradeoff between these requirements. This was accomplished by adapting a previously proposed method that allows the system matrix to be stored with a reasonable memory requirement. The method amounts to describing the attenuation coefficient using rotating slices that follow the helical geometry. In the initially-proposed version, the rotating slices are themselves described using blobs. We have replaced this description by a unique model that relies on tri-linear interpolation together with the principles of Joseph’s method. This model offers an improvement in memory requirement while still allowing highly accurate reconstruction for conventional CT geometries. The system matrix is stored column-wise and combined with an iterative coordinate descent (ICD) optimization. The result is FreeCT_ICD, which is a reconstruction program developed on the Linux platform using C++ libraries and the open source GNU GPL v2.0 license. The software is capable of reconstructing raw projection data of helical CT scans. In this work, the software has been described and evaluated by reconstructing datasets exported from a clinical scanner which consisted of an ACR accreditation phantom dataset and a clinical pediatric thoracic scan. For the ACR phantom, image quality was comparable to clinical reconstructions as well as reconstructions using open-source FreeCT_wFBP software. The pediatric thoracic scan also yielded acceptable results. In addition, we did not observe any deleterious impact in image quality associated with the utilization of rotating slices. These evaluations also demonstrated reasonable tradeoffs in storage requirements and computational demands. FreeCT_ICD is an open-source implementation of a model-based iterative reconstruction method that extends the capabilities of previously released open source reconstruction software and provides the ability to perform vendor-independent reconstructions of clinically acquired raw projection data. This implementation represents a reasonable tradeoff between storage and computational requirements and has demonstrated acceptable image quality in both simulated and clinical image datasets.
登录
查看更多内容
影响因子：
19.7
作者：
Zhao, Binsheng;James, Leonard P.;Schwartz, Lawrence H.
通讯作者：
Schwartz, Lawrence H.
影响因子：
3.8
作者：
Chen, Baiyu;Duan, Xinhui;McCollough, Cynthia
通讯作者：
McCollough, Cynthia
影响因子：
3.8
作者：
Young, Stefano;Kim, Hyun J. Grace;McNitt-Gray, Michael F.
通讯作者：
McNitt-Gray, Michael F.
影响因子：
3.5
作者：
Zbijewski, W;Beekman, FJ
通讯作者：
Beekman, FJ
DOI：
10.2214/ajr.12.9382
发表时间：
2012-12
期刊：
AJR. American journal of roentgenology
影响因子：
--
作者：
Pickhardt PJ;Lubner MG;Kim DH;Tang J;Ruma JA;del Rio AM;Chen GH
通讯作者：
Chen GH