Skip to main content
SpringerLink
Log in

CHIPS – A Service for Collecting, Organizing, Processing, and Sharing Medical Image Data in the Cloud

  • Conference paper
  • First Online:
Data Management and Analytics for Medicine and Healthcare (DMAH 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10494))

Abstract

Web browsers are increasingly used as middleware platforms offering a central access point for service provision. Using backend containerization, RESTful APIs, and distributed computing allows for complex systems to be realized that address the needs of modern compute intense environments. In this paper, we present a web-based medical image data and information management software platform called CHIPS (Cloud Healthcare Image Processing Service). This cloud-based services allows for authenticated and secure retrieval of medical image data from resources typically found in hospitals, organizes and presents information in a modern feed-like interface, provides access to a growing library of plugins that process these data, allows for easy data sharing between users and provides powerful 3D visualization and real-time collaboration. Image processing is orchestrated across additional cloud-based resources using containerization technologies.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://fnndsc.babymri.org.

  2. 2.

    http://goxtk.com.

  3. 3.

    https://www.docker.com.

  4. 4.

    https://github.com/FNNDSC/ChRIS_ultron_backEnd.

  5. 5.

    https://github.com/FNNDSC/pman.

  6. 6.

    https://github.com/FNNDSC/pfioh.

  7. 7.

    https://github.com/FNNDSC/swarm.

References

  1. FreeSurfer. http://surfer.nmr.mgh.harvard.edu/

  2. Bernal-Rusiel, J.L., Rannou, N., Gollub, R., Pieper, S., Murphy, S., Robertson, R., Grant, P.E., Pienaar, R.: Reusable client-side javascript modules for immersive web-based real-time collaborative neuroimage visualization. Front. Neuroinformatics 11, 32 (2017)

    Article  Google Scholar 

  3. Dale, A.M., Fischl, B., Sereno, M.I.: Cortical Surface-Based Analysis - I. Segmentation and Surface Reconstruction. Neuroimage 9, 179–194 (1999)

    Article  Google Scholar 

  4. Eckersley, P., Egan, G.F., De Schutter, E., Yiyuan, T., Novak, M., Sebesta, V., Matthiessen, L., Jaaskelainen, I.P., Ruotsalainen, U., Herz, A.V., et al.: Neuroscience data and tool sharing. Neuroinformatics 1(2), 149–165 (2003)

    Article  Google Scholar 

  5. Fischl, B., Sereno, M.I., Dale, A.M.: Cortical surface-based analysis II: Inflation, flattening, and a surface-based coordinate system. NeuroImage 9, 195–207 (1999)

    Article  Google Scholar 

  6. Ginsburg, D., Gerhard, S., Calle, J.E.C., Pienaar, R.: Realtime visualization of the connectome in the browser using webgl. Front. Neuroinformatics (2011)

    Google Scholar 

  7. Greene, C.S., Tan, J., Ung, M., Moore, J.H., Cheng, C.: Big data bioinformatics. J. Cell. Physiol. 229(12), 1896–1900 (2014). http://dx.doi.org/10.1002/jcp.24662

  8. Haehn, D., Rannou, N., Ahtam, B., Grant, E., Pienaar, R.: Neuroimaging in the browser using the x toolkit. In: Frontiers in Neuroinformatics Conference Abstract: 5th INCF Congress of Neuroinformatics, Munich (2014)

    Google Scholar 

  9. Haehn, D., Rannou, N., Grant, P.E., Pienaar, R.: Slice: drop: collaborative medical imaging in the browser. In: ACM SIGGRAPH 2013 Computer Animation Festival, SIGGRAPH 2013, p. 1. ACM, New York (2013). http://doi.acm.org/10.1145/2503541.2503645

  10. Khan, F., Foley-Bourgon, V., Kathrotia, S., Lavoie, E., Hendren, L.: Using Javascript and WebCL for numerical computations: a comparative study of native and web technologies. In: ACM SIGPLAN Notices, vol. 50, pp. 91–102. ACM (2014)

    Google Scholar 

  11. Millan, J., Yunda, L.: An open-access web-based medical image atlas for collaborative medical image sharing, processing, web semantic searching and analysis with uses in medical training, research and second opinion of cases. Nova 12(22), 143–150 (2014)

    Article  Google Scholar 

  12. Mwalongo, F., Krone, M., Reina, G., Ertl, T.: State-of-the-art report in web-based visualization. In: Computer Graphics Forum, vol. 35, pp. 553–575. Wiley Online Library (2016)

    Google Scholar 

  13. Provost, F., Fawcett, T.: Data science and its relationship to big data and data-driven decision making. Big Data 1(1), 51–59 (2013). http://dx.doi.org/10.1089/big.2013.1508

  14. Rex, D.E., Ma, J.Q., Toga, A.W.: The LONI pipeline processing environment. Neuroimage 19(3), 1033–1048 (2003). http://www.hubmed.org/display.cgi?uids=12880830

  15. Sherif, T., Rioux, P., Rousseau, M.E., Kassis, N., Beck, N., Adalat, R., Das, S., Glatard, T., Evans, A.C.: Cbrain: a web-based, distributed computing platform for collaborative neuroimaging research. Front. Neuroinformatics 8, 54 (2014)

    Article  Google Scholar 

  16. Swan, M.: The quantified self: Fundamental disruption in big data science and biological discovery. Big Data 1(2), 85–99 (2013). http://dx.doi.org/10.1089/big.2012.0002

  17. Wood, D., King, M., Landis, D., Courtney, W., Wang, R., Kelly, R., Turner, J.A., Calhoun, V.D.: Harnessing modern web application technology to create intuitive and efficient data visualization and sharing tools. Front. Neuroinformatics 8, 71 (2014)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Boston Children’s Hospital, Boston, MA, 02115, USA

    Rudolph Pienaar, Jorge Bernal-Rusiel & P. Ellen Grant

  2. Harvard Medical School, Boston, MA, 02115, USA

    Rudolph Pienaar & P. Ellen Grant

  3. Boston University, Boston, MA, 02115, USA

    Ata Turk & Orran Krieger

  4. Harvard School of Engineering and Applied Sciences, Cambridge, MA, 02138, USA

    Daniel Haehn

  5. Eunate Technology S.L., Sopela, Spain

    Nicolas Rannou

Authors
  1. Rudolph Pienaar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ata Turk
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jorge Bernal-Rusiel
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Nicolas Rannou
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Daniel Haehn
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. P. Ellen Grant
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Orran Krieger
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Rudolph Pienaar .

Editor information

Editors and Affiliations

  1. Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA

    Edmon Begoli

  2. Stony Brook University, Stony Brook, New York, USA

    Fusheng Wang

  3. University of Washington, Seattle, Washington, USA

    Gang Luo

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Pienaar, R. et al. (2017). CHIPS – A Service for Collecting, Organizing, Processing, and Sharing Medical Image Data in the Cloud. In: Begoli, E., Wang, F., Luo, G. (eds) Data Management and Analytics for Medicine and Healthcare. DMAH 2017. Lecture Notes in Computer Science(), vol 10494. Springer, Cham. https://doi.org/10.1007/978-3-319-67186-4_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67186-4_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67185-7

  • Online ISBN: 978-3-319-67186-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation