Bio-Image Warehouse System: Concept and Implementation of a Diagnosis-Based Data Warehouse for Advanced Imaging Modalities in Neuroradiology

  • L. Minati
  • F. Ghielmetti
  • V. Ciobanu
  • L. D’Incerti
  • C. Maccagnano
  • A. Bizzi
  • M. G. Bruzzone

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.

Key words

PACS image repository data warehouse web-based neuroradiology 


  1. 1.
    Bars, E, Gondry-Jouet, C, Deramond, H,  et al. 2000MR diffusion and perfusion imaging in clinical practiceJ Neuroradiol273951PubMedGoogle Scholar
  2. 2.
    Sabbah, P, Leveque, C, Dutertre, G,  et al. 2000Clinical application of functional MRI: a strategic tool for neurosurgeryJ Neuroradiol27226232PubMedGoogle Scholar
  3. 3.
    Bidgood, WD, Horii, SC, Prior, FW, Syckle, DE 1997Understanding and using DICOM, the data interchange standard for biomedical imagingJ Am Med Assoc4199212Google Scholar
  4. 4.
    Rosset, A, Ratib, O, Geissbuhler, A, Vallee, JP 2002Integration of a multimedia teaching and reference database in a PACS environmentRadiographics2215671577PubMedCrossRefGoogle Scholar
  5. 5.
    Stacy, MC, Augustine, KE, Robb, RA 1997Image BOSS: an image database system designed for researchJ Digit Imaging105659PubMedCrossRefGoogle Scholar
  6. 6.
    Lee, WJ, Yang, CY, Liu, KL,  et al. 2005Establishing a web-based DICOM teaching file authoring tool using open-source public softwareJ Digit Imaging18169175PubMedCrossRefGoogle Scholar
  7. 7.
    Weinberger, E, Jakobovits, R, Halsted, M a web-based teaching file authoring toolAm J Roentgenol179579582Google Scholar
  8. 8., accessed on Jun 12, 2006
  9. 9.
    Grethe, JS, Baru, C, Gupta, A,  et al. 2005Biomedical informatics research network: building a national collaboratory to hasten the derivation of new understanding and treatment of diseaseStud Health Technol Inform112100109PubMedGoogle Scholar
  10. 10.
    Fernandez-Bayo, J, Barbero, O, Rubies, C,  et al. 2000Distributing medical images with internet technologies: a DICOM Web server and a DICOM Java viewerRadioGraphics20581590PubMedGoogle Scholar
  11. 11.
    Dai, W, Liang, Y, Zhou, ZH 2003Web portal to an image database for high-resolution three-dimensional reconstructionJ Struct Biol144238245PubMedCrossRefGoogle Scholar
  12. 12.
    Pinciroli, F, Masseroli, M, Acerbo, LA,  et al. 2004BIRD: Bio-Image Referral Database. Design and implementation of a new web based and patient multimedia data focused system for effective medical diagnosis and therapyStud Health Technol Inform98301303PubMedGoogle Scholar
  13. 13.
    Cao, P, Hashiba, M, Akazawa, K, Yamakawa, T, Matsuto, T 2003An integrated medical image database and retrieval system using a web application serverInt J Med Inform715155PubMedCrossRefGoogle Scholar
  14. 14.
    Ratib, O, Swiernik, M, Coy, JM 2003From PACS to integrated EMRComput Med Imaging Graph27207215PubMedCrossRefGoogle Scholar
  15. 15., accessed on Jun 12, 2006
  16. 16.
    Osborn, A, Blaser, S, Salzman, K 2004Diagnostic Imaging: BrainW.B. SaundersUSAGoogle Scholar
  17. 17.
    Ashburner, J, Friston, KJ 2000Voxel-based morphometry—the methodsNeuroimage11805821PubMedCrossRefGoogle Scholar
  18. 18.
    Smith, SM, Jenkinson, M, Woolrich, MW,  et al. 2004Advances in functional and structural MR image analysis and implementation as FSLNeuroImage23208219CrossRefGoogle Scholar
  19. 19.
    Yousem, DM, Bryan, RN, Beauchamp, NJ, Arnold, AM 2004A national neuroimaging database: a call to actionAJNR Am J Neuroradiol25908909PubMedGoogle Scholar

Copyright information

© SCAR (Society for Computer Applications in Radiology) 2007

Authors and Affiliations

  • L. Minati
    • 1
    • 2
  • F. Ghielmetti
    • 2
  • V. Ciobanu
    • 3
  • L. D’Incerti
    • 2
  • C. Maccagnano
    • 2
  • A. Bizzi
    • 2
  • M. G. Bruzzone
    • 2
  1. 1.Scientific Direction UnitIstituto Nazionale Neurologico “C. Besta”MilanoItaly
  2. 2.Neuroradiology DepartmentIstituto Nazionale Neurologico “C. Besta”MilanItaly
  3. 3.MS Lab SrlCraiovaRomânia

Personalised recommendations