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. 2022 May 30;8(3):1453-1462.
doi: 10.3390/tomography8030117.

Web-Based Application for Biomedical Image Registry, Analysis, and Translation (BiRAT)

Rahul Pemmaraju  1 , Robert Minahan  2 , Elise Wang  3 , Kornel Schadl  4 , Heike Daldrup-Link  5 , Frezghi Habte  5
Affiliations

Web-Based Application for Biomedical Image Registry, Analysis, and Translation (BiRAT)

Rahul Pemmaraju et al. Tomography. .

Abstract

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.

Keywords: PACs; biomedical imaging; cancer imaging; image data management; image data science; image data storage; medical imaging; multimodality imaging; preclinical imaging.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Conceptual design and data model for Biomedical image Registration, Analysis, and Translation (BiRAT). The model illustrates the workflow on how pieces of data elements are curated and added early immediately after its creation to the database system. Robust image viewer facilitates quick image preview and analysis.
Figure 2
Figure 2
Current implementation of the structure and components of the web-based application designed on a data-driven bottom-up approach for efficient biomedical image data storage and management.
Figure 3
Figure 3
Simplified database schema of the application.
Figure 4
Figure 4
Screenshot of the “Study Manager” view.
Figure 5
Figure 5
Screenshot of the application image viewer.
Figure 6
Figure 6
Screenshot of the public image registry or global image gallery.
See this image and copyright information in PMC

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References

    1. Cunha L., Horváth I., Ferreira S., Lemos J., Costa P., Vieira D., Veres D.S., Szigeti K., Summavielle T., Máthé D., et al. Preclinical Imaging: An Essential Ally in Modern Biosciences. Mol. Diagn. Ther. 2014;18:153–173. doi: 10.1007/s40291-013-0062-3. - DOI - PubMed
    1. Lewis J., Achilefu S., Garbow J., Laforest R., Welch M. Small animal imaging: Current technology and perspectives for oncological imaging. Eur. J. Cancer. 2002;38:2173–2188. doi: 10.1016/S0959-8049(02)00394-5. - DOI - PubMed
    1. Allport J.R., Weissleder R. In vivo imaging of gene and cell therapies. Exp. Hematol. 2001;29:1237–1246. doi: 10.1016/S0301-472X(01)00739-1. - DOI - PubMed
    1. O’Farrell A.C., Shnyder S., Marston G., Coletta P.L., Gill J. Non-invasive molecular imaging for preclinical cancer therapeutic development. J. Cereb. Blood Flow Metab. 2013;169:719–735. doi: 10.1111/bph.12155. - DOI - PMC - PubMed
    1. Hickson J. In vivo optical imaging: Preclinical applications and considerations. Urol. Oncol. Semin. Orig. Investig. 2009;27:295–297. doi: 10.1016/j.urolonc.2008.10.030. - DOI - PubMed

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