Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2007 Mar;20(1):32-41.
doi: 10.1007/s10278-006-0859-2.

Bio-image warehouse system: concept and implementation of a diagnosis-based data warehouse for advanced imaging modalities in neuroradiology

L Minati  1 , F Ghielmetti, V Ciobanu, L D'Incerti, C Maccagnano, A Bizzi, M G Bruzzone
Affiliations

Bio-image warehouse system: concept and implementation of a diagnosis-based data warehouse for advanced imaging modalities in neuroradiology

L Minati et al. J Digit Imaging. 2007 Mar.

Abstract

Advanced neuroimaging techniques, such as functional magnetic resonance imaging (fMRI), chemical shift spectroscopy imaging (CSI), diffusion tensor imaging (DTI), and perfusion-weighted imaging (PWI) create novel challenges in terms of data storage and management: huge amounts of raw data are generated, the results of analysis may depend on the software and settings that have been used, and most often intermediate files are inherently not compliant with the current DICOM (digital imaging and communication in medicine) standard, as they contain multidimensional complex and tensor arrays and various other types of data structures. A software architecture, referred to as Bio-Image Warehouse System (BIWS), which can be used alongside a radiology information system/picture archiving and communication system (RIS/PACS) system to store neuroimaging data for research purposes, is presented. The system architecture is conceived with the purpose of enabling to query by diagnosis according to a predefined two-layered classification taxonomy. The operational impact of the system and the time needed to get acquainted with the web-based interface and with the taxonomy are found to be limited. The development of modules enabling automated creation of statistical templates is proposed.

PubMed Disclaimer

Figures

Fig 1
Fig 1
System architecture.
Fig 2
Fig 2
Database entity diagram.
Fig 3
Fig 3
Web interface of the system: (a) main page, (b) object query page, and (c) exam view page.
Fig 3
Fig 3
Web interface of the system: (a) main page, (b) object query page, and (c) exam view page.
See this image and copyright information in PMC

References

    1. Bars E, Gondry-Jouet C, Deramond H, et al. MR diffusion and perfusion imaging in clinical practice. J Neuroradiol. 2000;27:39–51. - PubMed
    1. Sabbah P, Leveque C, Dutertre G, et al. Clinical application of functional MRI: a strategic tool for neurosurgery. J Neuroradiol. 2000;27:226–232. - PubMed
    1. Bidgood WD, Horii SC, Prior FW, Syckle DE. Understanding and using DICOM, the data interchange standard for biomedical imaging. J Am Med Assoc. 1997;4:199–212. - PMC - PubMed
    1. Rosset A, Ratib O, Geissbuhler A, Vallee JP. Integration of a multimedia teaching and reference database in a PACS environment. Radiographics. 2002;22:1567–1577. doi: 10.1148/rg.226025058. - DOI - PubMed
    1. Stacy MC, Augustine KE, Robb RA. Image BOSS: an image database system designed for research. J Digit Imaging. 1997;10:56–59. doi: 10.1007/BF03168658. - DOI - PMC - PubMed

LinkOut - more resources