Abstract
Recent information technology literature, in general, and radiology trade journals, in particular, are rife with allusions to the “cloud” suggesting that moving one’s compute and storage assets into someone else’s data center magically solves cost, performance, and elasticity problems. More likely, one is only trading one set of problems for another, including greater latency (aka slower turnaround times) since the image data must now leave the local area network and travel longer paths via encrypted tunnels. To offset this, an imaging system design is needed that reduces the number of high-latency image transmissions, yet can still leverage cloud strengths. This work explores the requirements for such a design.
Similar content being viewed by others
References
Philbin J, Prior F, Nagy P: Will the next generation of PACS be sitting on the cloud? JDI 24(2):179–183,2011
Langer SG, French T, Segovis C: TCP/IP optimization over wide area networks: implications for teleradiology. J Digit Imaging 24(2):314–321,2011. PMID:20544373. PMCID:3056981. DOI:10.1007/s10278-010-9309-2
Reiner BI, Siegel EL, Hooper FJ, Siddiqui KM, Musk A, Walker L, Chacko A: Multi-institutional analysis of computed and direct radiography part I. Technologist productivity. Radiology 236:413–419,2005
Andriole KP, Morin RL, Arenson RL, Carrino JA, Erickson BJ, Horii SC, Piraino DW, Reiner BI, Siebert JA, Siegel E: Addressing the coming radiology crisis: The society for computer applications in radiology Transforming the Radiological Interpretation Process (TRIP) initiative. JDI 17(4):235–243,2004
Blezek D, Ryan W, Yang X, Langer S, Erickson B, Stevens R, Glowacki R, Rapp W: Image workflow management using the Advanced Medical Imaging Solution. CARS Geneva, 2010
Yang X, Blezek DJ, Cheng LT, Ryan WJ, Kallmes DF, Erickson BJ: Computer aided detection of intracranial aneurysms in MR angiography. JDI 24(1):86–95, 2011
IHE Scheduled Workflow, see Figure 3.1-1 at http://ihe.net/Technical_Framework/upload/IHE_RAD_TF_Rev10-0_Vol1_2011-02-18.pdf. Last viewed August 2012
IHE Transactions http://ihe.net/Technical_Framework/upload/IHE_RAD_TF_Rev10-0_Vol2_2011-02-18.pdf. Last viewed August 2012
Le TH, Malhi N: Thin client (web browser)-based collaboration for medical imaging and web-enabled data. J Digit Imaging 15(Suppl 1):261–263,2002
Endianess http://en.wikipedia.org/wiki/Endianness. Last viewed August 2012
Toland C, Meenan C, Toland M, Safdar N, Vandermeer P, Nagy P: A suggested classification guide for PACS client applications: the five degrees of thickness. J Digit Imaging 19(Suppl 1):78–83,2006
Acknowledgments
The first author wishes to express his thanks to Jonathan Swift for the title inspiration.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Langer, S.G., Persons, K., Erickson, B.J. et al. Towards a More Cloud-Friendly Medical Imaging Applications Architecture: A Modest Proposal. J Digit Imaging 26, 58–64 (2013). https://doi.org/10.1007/s10278-012-9545-8
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10278-012-9545-8