Automatic processing of multimodality data for functional PET analysis

A. Crabb, Yun Zhou, O. Rousset, D. Wong
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引用次数: 0

Abstract

A simple database-backed software system using information recovered automatically from image file headers allows considerable reductions in the manual content of functional PET image analysis. Programs using this information to create deterministic directory and file names gain autonomous file access, enabling automatic processing. Abstraction from file names and other computer-related restrictions allows control of the system through a user interface based upon more relevant subject and study details. A simple and flexible approach to automating the retrieval and routine analysis of image files is presented. Using information extracted from image file headers, files are stored using a consistent naming convention and organizational hierarchy that can be extended to diverse files, strengthening the association between images and their associated data files. Further processing is implemented through a graphical user interface, improving the speed and accuracy of complex procedures and reducing the need for advanced computer skills for researchers.
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功能PET分析多模态数据的自动处理
一个简单的数据库支持的软件系统,使用从图像文件头自动恢复的信息,可以大大减少功能性PET图像分析的手动内容。使用此信息创建确定的目录和文件名的程序可以获得自主的文件访问权限,从而实现自动处理。从文件名和其他与计算机相关的限制中抽象出来,允许通过基于更相关的主题和学习细节的用户界面来控制系统。提出了一种简单灵活的图像文件自动检索和分析方法。使用从图像文件头提取的信息,文件使用一致的命名约定和组织层次结构存储,可以扩展到不同的文件,从而加强图像及其相关数据文件之间的关联。进一步的处理是通过图形用户界面实现的,提高了复杂程序的速度和准确性,减少了研究人员对高级计算机技能的需求。
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