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 Image review on computer-based workstations has made film-based review outdated.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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Pluma: an open source C++ framework for plug-in management. http://pluma-framework.sourceforge.net
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)
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)
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)
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)
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)
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)
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)
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)
Ibanez, L., Schroeder, W., Ng, L., Cates, J.: The ITK software guide (2005)
Ivetic, D., Dragan, D.: Medical image on the go!. J. Med. Syst. 35(4), 499–516 (2011)
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)
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)
Lança, L., Silva, A.: Digital radiography detectors: a technical overview. In: Digital Imaging Systems for Plain Radiography, pp. 9–19. Springer (2013)
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)
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)
Lipton, P., Nagy, P., Sevinc, G.: Leveraging internet technologies with dicom wado. J. Digit. Imag. 25(5), 646–652 (2012)
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)
Mori, K.: Navi-cad: navigation-based intelligent computer aided diagnosis system. Med. Imag. Tech. 24, 173–180 (2006)
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)
Parikh, A., Mehta, N.: PACS on mobile devices. In: SPIE Medical Imaging, pp. 94180F–94180F. International Society for Optics and Photonics (2015)
Pieper, S., Halle, M., Kikinis, R.: 3d slicer. In: 2004 IEEE International Symposium on Biomedical Imaging: Nano to Macro, pp. 632–635. IEEE (2004)
Schroeder, W.J., Avila, L.S., Hoffman, W.: Visualizing with VTK: a tutorial. IEEE Comput. Graph. Appl. 20(5), 20–27 (2000)
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)
Špelič, D., Žalik, B.: Lossless compression of threshold-segmented medical images. J. Med. Syst. 36(4), 2349–2357 (2012)
Székely, A., Talanow, R., Bágyi, P.: Smartphones, tablets and mobile applications for radiology. Eur. J. Radiol. 82(5), 829–836 (2013)
Treichel, T., Gessat, M., Prietzel, T., Burgert, O.: Dicom for implantations–overview and application. J. Digit. Imag. 25(3), 352–358 (2012)
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)
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).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Deng, Z., Chen, Yw., Zhu, Z., Wang, Y., Wang, Y., Xu, M. (2018). A Collaborative and Mobile Platform for Medical Image Analysis: A Preliminary Study. In: Chen, YW., Tanaka, S., Howlett, R., Jain, L. (eds) Innovation in Medicine and Healthcare 2017. KES-InMed 2018 2017. Smart Innovation, Systems and Technologies, vol 71. Springer, Cham. https://doi.org/10.1007/978-3-319-59397-5_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-59397-5_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-59396-8
Online ISBN: 978-3-319-59397-5
eBook Packages: EngineeringEngineering (R0)