symep Tomo项目:用于定制CT重建工作流程的图形用户界面

IF 3.56 Q1 Medicine
Francesco Brun, Lorenzo Massimi, Michela Fratini, Diego Dreossi, Fulvio Billé, Agostino Accardo, Roberto Pugliese, Alessia Cedola
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引用次数: 102

摘要

当考虑实验同步辐射(SR) x射线CT数据的采集时,重建工作流程不能局限于平坦场和滤波后投影(FBP)的基本计算步骤。通常需要更精细的图像处理,通常是为了补偿伪影和提高重建图像的质量。原则上,在实验期间(波束时间)优化设备的重建工作流程是可取的。然而,几个实际因素会影响实验的图像重建部分,用户可能会得出次优重建图像的波束时间。通过一个应用示例,本文介绍了symep Tomo Project (STP),这是一个开源软件工具,旨在让用户设计自定义CT重建工作流。STP是为波束时间后(离线使用)和用户家庭机构中过去存档数据的新重建而设计的,其中简单的计算资源是可用的。该软件的发布版本可以在Elettra科学计算组GitHub存储库https://github.com/ElettraSciComp/STP-Gui上下载。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

SYRMEP Tomo Project: a graphical user interface for customizing CT reconstruction workflows

SYRMEP Tomo Project: a graphical user interface for customizing CT reconstruction workflows

When considering the acquisition of experimental synchrotron radiation (SR) X-ray CT data, the reconstruction workflow cannot be limited to the essential computational steps of flat fielding and filtered back projection (FBP). More refined image processing is often required, usually to compensate artifacts and enhance the quality of the reconstructed images. In principle, it would be desirable to optimize the reconstruction workflow at the facility during the experiment (beamtime). However, several practical factors affect the image reconstruction part of the experiment and users are likely to conclude the beamtime with sub-optimal reconstructed images. Through an example of application, this article presents SYRMEP Tomo Project (STP), an open-source software tool conceived to let users design custom CT reconstruction workflows. STP has been designed for post-beamtime (off-line use) and for a new reconstruction of past archived data at user’s home institution where simple computing resources are available. Releases of the software can be downloaded at the Elettra Scientific Computing group GitHub repository https://github.com/ElettraSciComp/STP-Gui.

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来源期刊
Advanced Structural and Chemical Imaging
Advanced Structural and Chemical Imaging Medicine-Radiology, Nuclear Medicine and Imaging
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