A Medical Application Integrating Remote 3D Visualization Tools to Access Picture Archiving and Communication System on Mobile Devices
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With computing capability and display size growing, the mobile device has been used as a tool to help clinicians view patient information and medical images anywhere and anytime. However, for direct interactive 3D visualization, which plays an important role in radiological diagnosis, the mobile device cannot provide a satisfactory quality of experience for radiologists. This paper developed a medical system that can get medical images from the picture archiving and communication system on the mobile device over the wireless network. In the proposed application, the mobile device got patient information and medical images through a proxy server connecting to the PACS server. Meanwhile, the proxy server integrated a range of 3D visualization techniques, including maximum intensity projection, multi-planar reconstruction and direct volume rendering, to providing shape, brightness, depth and location information generated from the original sectional images for radiologists. Furthermore, an algorithm that changes remote render parameters automatically to adapt to the network status was employed to improve the quality of experience. Finally, performance issues regarding the remote 3D visualization of the medical images over the wireless network of the proposed application were also discussed. The results demonstrated that this proposed medical application could provide a smooth interactive experience in the WLAN and 3G networks.
KeywordsMedical images PACS Remote visualization Mobile health
This work was supported by the National High-Tech Research and Development Program of China (863 Program: 2012AA02A606), the Program for New Century Excellent Talents in University (Grant No. NCET-10-0386) and the graduate innovation fund of Graduate Base of Innovation and Enterprise (No.HF-11-39-2013).
- 9.Mitchell, J. R., Sharma, P., Modi, J., Simpson, M., Thomas, M., Hill, M. D., and Goyal, M., A smartphone clientâ€“server teleradiology system for primary diagnosis of acute stroke. J. Med. Internet Res. 13(2), 2011. doi: 10.2196/jmir.1732.
- 11.Noon, C., Holub, J., and Winer, E., Real-time volume rendering of digital medical images on an iOS device. In: Akopian, D., Creutzburg, R., Georgiev, T.G., et al. (Eds.), Multimedia Content and Mobile Devices. Vol. 8667. Proceedings of SPIE. Spie-Int Soc Optical Engineering, Bellingham, 2013. doi: 10.1117/12.2005335.
- 14.Aycan mobile. http://www.aycan.com/products/aycan-mobile.html. Accessed 11 December 2013.
- 16.Paravati, G., Sanna, A., Lamberti, F., and Ciminiera, L., A novel approach to support quality of experience in remote visualization on mobile devices. In: Eurographics, pp 223–226, 2008.Google Scholar
- 17.GDCM. http://sourceforge.net/projects/gdcm/. Accessed 11 December 2013.
- 18.jpegsr8d. http://www.ijg.org/. Accessed 11 December 2013.
- 19.Savcenko, V., Erickson, B. J., Persons, K. R., Campeau, N. G., Huston, J., Wood, C. P., and Schreiner, S. A., An evaluation of JPEG and JPEG 2000 irreversible compression algorithms applied to neurologic computed tomography and magnetic resonance images. J. Digit. Imaging 13(2):183–185, 2000.CrossRefGoogle Scholar
- 21.Herk Mv Conquest. http://ingenium.home.xs4all.nl/dicom.html Accessed 11 December 2013.
- 22.NetLimiter. http://www.netlimiter.com/. Accessed 24 January 2014, 2003.
- 23.Toomey, R. J., Ryan, J. T., McEntee, M. F., Evanoff, M. G., Chakraborty, D. P., McNulty, J. P., Manning, D. J., Thomas, E. M., and Brennan, P. C., The diagnostic efficacy of hand-held devices for emergency radiological consultation. AJR Am. J. Roentgenol. 194(2):467–474, 2010. doi: 10.2214/AJR.09.3418.CrossRefGoogle Scholar
- 25.Chen, W. K., and Tso, H. K., Visual sharing protection method for medical images. J. Med. Syst. 37(1), 2013. doi: 10.1007/s10916-012-9900-9.
- 26.Lien, C. Y., Yang, T. L., Hsiao, C. H., and Kao, T., Realizing digital signatures for medical imaging and reporting in a PACS environment. J. Med. Syst. 37(1), 2013. doi: 10.1007/s10916-012-9924-1
- 27.Mobeen, M. M., and Feng, L., Mobile visualization of biomedical volume datasets. J. Internet. Technol. Secured Trans. 1(2):52–60, 2012.Google Scholar