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A Collaborative and Mobile Platform for Medical Image Analysis: A Preliminary Study

  • Zhuofu Deng
  • Yen-wei Chen
  • Zhiliang Zhu
  • Youyin Wang
  • Yi Wang
  • Min Xu
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 71)

Abstract

The tremendous advancement in mobile computing hardware and software changes everything in people including health care. Image review on computer-based workstations has made film-based review outdated. However, with the expansion of needs in portability of digital workstations, we wish a acceptable quality of medical image reviewing in a handled device, which could give radiologists more convenience. In this context, mobile health (m-Health) delivers health care services, overcoming geographical, temporal, and even organizational barriers. This paper presents a collaborative and mobile platform for image analysis which provides medical images shared so that the radiologists can review these data anytime and anywhere. In addition, this platform has the biggest differences with other popular or traditional systems that it supports collaboration and plug-in. It means that all the experts in the different locations can have a research together like in the same conference face to face and programmers can develop their favorite functions as they will. At last, the system also supplies many indispensable medical image analysis auxiliary functions such as image registration and image segmentation, both of which offer radiologists greatly exact diagnosis tools. We evaluated the platform with respect to expert satisfaction, functional characteristics. The experimental results show that our platform outperforms conventional image review systems in these regards.

Notes

Acknowledgments

This research was supported in part by the Grant-in Aid for Scientific Research from the Japanese Ministry for Education, Science, Culture and Sports (MEXT) under the Grant No. 15H01130 and No. 16H01436, in part by the MEXT Support Program for the Strategic Research Foundation at Private Universities (2013-2017).

References

  1. 1.
    Pluma: an open source C++ framework for plug-in management. http://pluma-framework.sourceforge.net
  2. 2.
    Auffermann, W.F., Chetlen, A.L., Sharma, A., Colucci, A.T., DeQuesada, I.M., Grajo, J.R., Kung, J.W., Loehfelm, T.W., Sherry, S.J.: Mobile computing for radiology. Acad. Radiol. 20(12), 1495–1505 (2013)CrossRefGoogle Scholar
  3. 3.
    Calhoun, P.S., Kuszyk, B.S., Heath, D.G., Carley, J.C., Fishman, E.K.: Three-dimensional volume rendering of spiral ct data: theory and method 1. Radiographics 19(3), 745–764 (1999)CrossRefGoogle Scholar
  4. 4.
    Celi, L.A., Sarmenta, L., Rotberg, J., Marcelo, A., Clifford, G.: Mobile care (moca) for remote diagnosis and screening. J. Health Inf. Dev. Countries 3(1), 17 (2009)Google Scholar
  5. 5.
    Cho, H., Jeong, M., Han, B., Kim, S., Lee, B., Kim, H., Lee, S.: Development of a portable digital radiographic system based on FOP-coupled CMOS image sensor and its performance evaluation. IEEE Trans. Nuclear Sci. 52(5), 1766–1772 (2005)CrossRefGoogle Scholar
  6. 6.
    Cho, H.M., Kim, H.J., Lee, C.L., Nam, S., Jung, J.Y.: Imaging characteristics of the direct and mobile indirect digital radiographic systems. In: Nuclear Science Symposium Conference Record, NSS 2007, vol. 5, pp. 3840–3846. IEEE (2007)Google Scholar
  7. 7.
    Choudhri, A.F., Radvany, M.G.: Initial experience with a handheld device digital imaging and communications in medicine viewer: osirix mobile on the iphone. J. Digit. Imag. 24(2), 184–189 (2011)CrossRefGoogle Scholar
  8. 8.
    Hartkens, T., Rueckert, D., Schnabel, J.A., Hawkes, D.J., Hill, D.L.: VTK CISG registration toolkit an open source software package for affine and non-rigid registration of single-and multimodal 3d images. In: Meiler, M., Saupe, D., Kruggel, F., Handels, H., Lehmann, T.M. (eds.) Bildverarbeitung für die Medizin 2002, pp. 409–412. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  9. 9.
    Hsieh, J.C., Lo, H.C.: The clinical application of a PACS-dependent 12-lead ECG and image information system in E-medicine and telemedicine. J. Digit. Imag. 23(4), 501–513 (2010)CrossRefGoogle Scholar
  10. 10.
    Ibanez, L., Schroeder, W., Ng, L., Cates, J.: The ITK software guide (2005)Google Scholar
  11. 11.
    Ivetic, D., Dragan, D.: Medical image on the go!. J. Med. Syst. 35(4), 499–516 (2011)CrossRefGoogle Scholar
  12. 12.
    Kitrungrotsakul, T., Dong, C., Tateyama, T., Han, X.H., Chen, Y.W.: Interactive segmentation and visualization system for medical images on mobile devices. J. Adv. Simul. Sci. Eng. 2(1), 96–107 (2015)CrossRefGoogle Scholar
  13. 13.
    Lamberti, F., Sanna, A.: A streaming-based solution for remote visualization of 3d graphics on mobile devices. IEEE Trans. Vis. Comput. Graph. 13(2), 247–260 (2007)CrossRefGoogle Scholar
  14. 14.
    Lança, L., Silva, A.: Digital radiography detectors: a technical overview. In: Digital Imaging Systems for Plain Radiography, pp. 9–19. Springer (2013)Google Scholar
  15. 15.
    Lee, S., Lee, T., Jin, G., Hong, J.: An implementation of wireless medical image transmission system on mobile devices. J. Med. Syst. 32(6), 471–480 (2008)CrossRefGoogle Scholar
  16. 16.
    Lin, M.K., Nicolini, O., Waxenegger, H., Galloway, G., Ullmann, J., Janke, A.: Interpretation of medical imaging data with a mobile application: a mobile digital imaging processing environment. Front. Neurol. 4, 85 (2013)CrossRefGoogle Scholar
  17. 17.
    Lipton, P., Nagy, P., Sevinc, G.: Leveraging internet technologies with dicom wado. J. Digit. Imag. 25(5), 646–652 (2012)CrossRefGoogle Scholar
  18. 18.
    Mitchell, J.R., Sharma, P., Modi, J., Simpson, M., Thomas, M., Hill, M.D., Goyal, M.: A smartphone client-server teleradiology system for primary diagnosis of acute stroke. J. Med. Internet Res. 13(2), e31 (2011)CrossRefGoogle Scholar
  19. 19.
    Mori, K.: Navi-cad: navigation-based intelligent computer aided diagnosis system. Med. Imag. Tech. 24, 173–180 (2006)Google Scholar
  20. 20.
    Nakata, N., Kandatsu, S., Suzuki, N., Fukuda, K.: Informatics in radiology (info RAD) mobile wireless DICOM server system and PDA with high-resolution display: feasibility of group work for radiologists 1. Radiographics 25(1), 273–283 (2005)CrossRefGoogle Scholar
  21. 21.
    Parikh, A., Mehta, N.: PACS on mobile devices. In: SPIE Medical Imaging, pp. 94180F–94180F. International Society for Optics and Photonics (2015)Google Scholar
  22. 22.
    Pieper, S., Halle, M., Kikinis, R.: 3d slicer. In: 2004 IEEE International Symposium on Biomedical Imaging: Nano to Macro, pp. 632–635. IEEE (2004)Google Scholar
  23. 23.
    Schroeder, W.J., Avila, L.S., Hoffman, W.: Visualizing with VTK: a tutorial. IEEE Comput. Graph. Appl. 20(5), 20–27 (2000)CrossRefGoogle Scholar
  24. 24.
    Silva, B.M., Rodrigues, J.J., de la Torre Díez, I., López-Coronado, M., Saleem, K.: Mobile-health: a review of current state in 2015. J. Biomed. Inf. 56, 265–272 (2015)CrossRefGoogle Scholar
  25. 25.
    Špelič, D., Žalik, B.: Lossless compression of threshold-segmented medical images. J. Med. Syst. 36(4), 2349–2357 (2012)CrossRefGoogle Scholar
  26. 26.
    Székely, A., Talanow, R., Bágyi, P.: Smartphones, tablets and mobile applications for radiology. Eur. J. Radiol. 82(5), 829–836 (2013)CrossRefGoogle Scholar
  27. 27.
    Treichel, T., Gessat, M., Prietzel, T., Burgert, O.: Dicom for implantations–overview and application. J. Digit. Imag. 25(3), 352–358 (2012)CrossRefGoogle Scholar
  28. 28.
    Valente, F., Viana-Ferreira, C., Costa, C., Oliveira, J.L.: A restful image gateway for multiple medical image repositories. IEEE Trans. Inf. Technol. Biomed. 16(3), 356–364 (2012)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Zhuofu Deng
    • 1
  • Yen-wei Chen
    • 2
  • Zhiliang Zhu
    • 1
  • Youyin Wang
    • 3
  • Yi Wang
    • 2
  • Min Xu
    • 1
  1. 1.Northeastern UniversityShenyangChina
  2. 2.Ritsumeikan UniversityKyotoJapan
  3. 3.State Grid Liaoning Electric Power Company Limited Economic Research InstituteShenyangChina

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