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European Conference on Service-Oriented and Cloud Computing

ESOCC 2015: Service Oriented and Cloud Computing pp 214–225Cite as

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Remote Collaboration, Decision Support, and On-Demand Medical Image Analysis for Acute Stroke Care

Remote Collaboration, Decision Support, and On-Demand Medical Image Analysis for Acute Stroke Care

  • Renan Sales Barros16,
  • Jordi Borst16,
  • Steven Kleynenberg17,
  • Céline Badr18,
  • Rama-Rao Ganji19,
  • Hubrecht de Bliek20,
  • Landry-Stéphane Zeng-Eyindanga21,
  • Henk van den Brink22,
  • Charles Majoie16,
  • Henk Marquering16 &
  • …
  • Sílvia Delgado Olabarriaga16 
  • Conference paper
  • First Online: 23 September 2015

  • 977 Accesses

  • 1 Citations

Part of the Lecture Notes in Computer Science book series (LNPSE,volume 9306)

Abstract

Acute stroke is the leading cause of disabilities and the fourth cause of death worldwide. The treatment of stroke patients often requires fast collaboration between medical experts and fast analysis and sharing of large amounts of medical data, especially image data. In this situation, cloud technologies provide a potentially cost-effective way to optimize management of stroke patients and, consequently, improve patient outcome. This paper presents a cloud-based platform for Medical Distributed Utilization of Services & Applications (MEDUSA). This platform aims at improving current acute care settings by allowing fast medical data exchange, advanced processing of medical image data, automated decision support, and remote collaboration between physicians in a secure and responsive virtual space. We describe a prototype implemented in the MEDUSA platform for supporting the treatment of acute stroke patients. As the initial evaluation illustrates, this prototype improves several aspects of current stroke care and has the potential to play an important role in the care management of acute stroke patients.

Keywords

  • Acute care
  • Cloud computing
  • Decision support
  • High performance computing
  • Medical image analysis
  • Remote collaboration
  • Stroke
  • Telemedicine

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References

  1. Go, A.S., et al.: Heart disease and stroke statistics – 2013 update: a report from the American Heart Association. Circulation 127(1), e1–e240 (2013)

    CrossRef  Google Scholar 

  2. Hallett, S., Parr, G., McClean, S., McConnell, A., Majeed, B.: Cloud-based healthcare: towards a SLA compliant network aware solution for medical image processing. In: Cloud Computing, pp. 219–223 (2012)

    Google Scholar 

  3. Alonso-Calvo, R., Crespo, J., Maojo, V., Muñoz, A., García-Remesal, M., Pérez-Rey, D.: Cloud computing service for managing large medical image data-sets using balanced collaborative agents. In: Advances on Practical Applications of Agents and Multiagent Systems, pp. 265–270 (2011)

    Google Scholar 

  4. Shini, S.G., Thomas, T., Chithraranjan, K.: Cloud based medical image exchange-security challenges. Procedia Engineering 38, 3454–3461 (2012)

    CrossRef  Google Scholar 

  5. Kagadis, G.C., et al.: Cloud computing in medical imaging. Medical Physics 40(7) (2013)

    Google Scholar 

  6. Jeyabalaraja, V., Josephine, M.S.: Cloud Computing in Medical Diagnosis for improving Health Care Environment. International Journal of Computing Algorithm 2, 458–462 (2013)

    Google Scholar 

  7. Pino, C., Di Salvo, R.: A survey of cloud computing architecture and applications in health. In: ICCSEE (2013)

    Google Scholar 

  8. Jee, K., Kim, G.H.: Potentiality of big data in the medical sector: focus on how to reshape the healthcare system. Healthcare Informatics Research 19(2), 79–85 (2013)

    CrossRef  MathSciNet  Google Scholar 

  9. Murdoch, T.B., Detsky, A.S.: The inevitable application of big data to health care. Jama 309(13), 1351–1352 (2013)

    CrossRef  Google Scholar 

  10. Kanagaraj, G., Sumathi, A.C.: Proposal of an open-source cloud computing system for exchanging medical images of a hospital information system. In: TISC, pp. 144–149 (2011)

    Google Scholar 

  11. Yang, C.T., Chen, L.T., Chou, W.L., Wang, K.C.: Implementation of a medical image file accessing system on cloud computing. In: CSE, pp. 321–326 (2010)

    Google Scholar 

  12. Koufi, V., Malamateniou, F., Vassilacopoulos, G.: Ubiquitous access to cloud emergency medical services. In: ITAB, pp. 1–4 (2010)

    Google Scholar 

  13. Zhuang, Y., Jiang, N., Wu, Z., Li, Q., Chiu, D.K., Hu, H.: Efficient and robust large medical image retrieval in mobile cloud computing environment. Information Sciences 263, 60–86 (2014)

    CrossRef  Google Scholar 

  14. Hua, G., Lei, H., Bei, X.: A cloud computing based collaborative service pattern of medical association for stroke prevention and treatment. In: MID, pp. 345–349 (2014)

    Google Scholar 

  15. Sharieh, S., Franek, F., Ferworn, A.: Using cloud computing for medical applications. In: Proceedings of the 15th Communications and Networking Simulation Symposium, pp. 15:1–15:7 (2012)

    Google Scholar 

  16. Parsonson, L., Grimm, S., Bajwa, A., Bourn, L., Bai, L.: A cloud computing medical image analysis and collaboration platform. In: Cloud Computing and Services Science, pp. 207–224 (2012)

    Google Scholar 

  17. Dorn, K., Ukis, V., Friese, T.: A cloud-deployed 3D medical imaging system with dynamically optimized scalability and cloud costs. In: SEAA, pp. 155–158 (2011)

    Google Scholar 

  18. Chiang, W.C., Lin, H.H., Wu, T.S., Chen, C.F.: Bulding a cloud service for medical image processing based on service-orient architecture. BMEI 3, 1459–1465 (2011)

    Google Scholar 

  19. Huang, Q., Ye, L., Yu, M., Wu, F., Liang, R.: Medical information integration based cloud computing. NCIS 1, 79–83 (2011)

    Google Scholar 

  20. Ojog, I., Arias-Estrada, M., Gonzalez, J., Flores, B.: A cloud scalable platform for DICOM image analysis as a tool for remote medical support. In: eTELEMED, pp. 246–249 (2013)

    Google Scholar 

  21. Ahn, Y.W., Cheng, A.M.K.: Autonomic computing architecture for real-time medical application running on virtual private cloud infrastructures. ACM SIGBED Review 10(2), 15 (2013)

    CrossRef  Google Scholar 

  22. Holtmann, C., Müller-Gorchs, M., Rashid, A., Weidenhaupt, K., Ziegler, V., Griewing, B., Weinhardt, C.: Medical opportunities by mobile IT usage–a case study in the stroke chain of survival. In: European Conf. eHealth (2007)

    Google Scholar 

  23. Joveski, B., Mitrea, M., Simoens, P., Marshall, I.J., Prêteux, F., Dhoedt, B.: Semantic multimedia remote display for mobile thin clients. Multimedia systems 19(5), 455–474 (2013)

    CrossRef  Google Scholar 

  24. Joveski, B., Mitrea, M., Ganji, R. R.: MPEG-4 solutions for virtualizing RDP-based applications. In: IS&T/SPIE Electronic Imaging (2014)

    Google Scholar 

  25. Boers, A.M., Zijlstra, I.A., Gathier, C.S., van den Berg, R., Slump, C.H., Marquering, H.A., Majoie, C.B.: Automatic Quantification of Subarachnoid Hemorrhage on Noncontrast CT. American Journal of Neuroradiology 35(12), 2279–2286 (2014)

    CrossRef  Google Scholar 

  26. Santos, E.M., et al.: Development and validation of intracranial thrombus segmentation on CT angiography in patients with acute ischemic stroke. PloS One 9(7) (2014)

    Google Scholar 

  27. Boers, A.M., et al.: Automated cerebral infarct volume measurement in follow-up noncontrast CT scans of patients with acute ischemic stroke. American Journal of Neuroradiology 34(8), 1522–1527 (2013)

    CrossRef  Google Scholar 

  28. Barros, R.S., et al.: High Performance Image Analysis of Compressed Dynamic CT Perfusion Data of Patients with Acute Ischemic Stroke. Submitted to MICCAI HPC Workshop (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands

    Renan Sales Barros, Jordi Borst, Charles Majoie, Henk Marquering & Sílvia Delgado Olabarriaga

  2. Sopheon, Maastricht, The Netherlands

    Steven Kleynenberg

  3. Prologue, Les Ulis, France

    Céline Badr

  4. ARTEMIS Department, Telecom SudParis, Evry, France

    Rama-Rao Ganji

  5. Philips Healthcare, Eindhoven, The Netherlands

    Hubrecht de Bliek

  6. Bull, Grenoble, France

    Landry-Stéphane Zeng-Eyindanga

  7. Technolution, Gouda, The Netherlands

    Henk van den Brink

Authors
  1. Renan Sales Barros
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  2. Jordi Borst
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  3. Steven Kleynenberg
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  4. Céline Badr
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  5. Rama-Rao Ganji
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  6. Hubrecht de Bliek
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  7. Landry-Stéphane Zeng-Eyindanga
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  8. Henk van den Brink
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  9. Charles Majoie
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  10. Henk Marquering
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  11. Sílvia Delgado Olabarriaga
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Corresponding author

Correspondence to Renan Sales Barros .

Editor information

Editors and Affiliations

  1. Distributed Systems Group, Vienna University of Technology, Wien, Austria

    Schahram Dustdar

  2. System, Institute of Architecture of Application, Stuttgart, Baden-Württemberg, Germany

    Frank Leymann

  3. Faculty of Engineering, University of Messina, Messina, Italy

    Massimo Villari

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© 2015 IFIP International Federation for Information Processing

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Cite this paper

Barros, R.S. et al. (2015). Remote Collaboration, Decision Support, and On-Demand Medical Image Analysis for Acute Stroke Care. In: Dustdar, S., Leymann, F., Villari, M. (eds) Service Oriented and Cloud Computing. ESOCC 2015. Lecture Notes in Computer Science(), vol 9306. Springer, Cham. https://doi.org/10.1007/978-3-319-24072-5_15

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  • DOI: https://doi.org/10.1007/978-3-319-24072-5_15

  • Published: 23 September 2015

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24071-8

  • Online ISBN: 978-3-319-24072-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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