School of Bioengineering and Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Computational and Systems Biology, University of California-Los Angeles, Los Angeles, CA 90095, USA.
Tomography. 2022 May 30;8(3):1453-1462. doi: 10.3390/tomography8030117.
Imaging has become an invaluable tool in preclinical research for its capability to non-invasively detect and monitor disease and assess treatment response. With the increased use of preclinical imaging, large volumes of image data are being generated requiring critical data management tools. Due to proprietary issues and continuous technology development, preclinical images, unlike DICOM-based images, are often stored in an unstructured data file in company-specific proprietary formats. This limits the available DICOM-based image management database to be effectively used for preclinical applications. A centralized image registry and management tool is essential for advances in preclinical imaging research. Specifically, such tools may have a high impact in generating large image datasets for the evolving artificial intelligence applications and performing retrospective analyses of previously acquired images. In this study, a web-based server application is developed to address some of these issues. The application is designed to reflect the actual experimentation workflow maintaining detailed records of both individual images and experimental data relevant to specific studies and/or projects. The application also includes a web-based 3D/4D image viewer to easily and quickly view and evaluate images. This paper briefly describes the initial implementation of the web-based application.
成像技术已成为临床前研究中不可或缺的工具，因为它能够非侵入性地检测和监测疾病，并评估治疗反应。随着临床前成像的广泛应用，大量的图像数据正在生成，这需要关键的数据管理工具。由于专有问题和不断的技术发展，与基于 DICOM 的图像不同，临床前图像通常以公司特定的专有格式存储在非结构化数据文件中。这限制了基于 DICOM 的可用图像管理数据库在临床前应用中有效使用。集中式图像注册和管理工具对于临床前成像研究的进展至关重要。具体来说，这些工具可能会对生成用于不断发展的人工智能应用的大型图像数据集以及对以前获取的图像进行回顾性分析产生重大影响。在这项研究中，开发了一个基于网络的服务器应用程序来解决其中的一些问题。该应用程序旨在反映实际的实验工作流程，详细记录与特定研究和/或项目相关的单个图像和实验数据。该应用程序还包括一个基于网络的 3D/4D 图像查看器，可方便快捷地查看和评估图像。本文简要描述了基于网络的应用程序的初步实现。
