Abstract
If you happen to be in medical imaging for some time, you might recall those wonderful scholastic battles of the 1990s: can computer monitors provide the same diagnostic display quality as printed film? As with anything else asked from your IT department, the original answer was “No”, or rather “No!!!”, multiplied by the imperfections of the early computer monitors, and raised to the power of notorious clinical conservatism. And while most kept printing and arguing, others preferred to invest the intervening years in perfecting the digital display technology – eventually winning the market and the dispute. Oh those acid-smelling printing monsters of the old days… “Where are the snows of yesteryear?”
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Notes
- 1.
François Villon.
- 2.
This is the most common requirement in what is known as REST architecture. REST stands for REpresentational State Transfer; read more at http://en.wikipedia.org/wiki/Representational_state_transfer
- 3.
So a link like http://MeWebPACSServer?PatName=JoeSmith&PatID=123456, entered by hand or generated by another third-party application, will launch the web viewer with Joe Smith’s images already loaded into it.
- 4.
Making the ironic “Write Once, Debug Everywhere” a new Java slogan.
- 5.
Lossy JPEG is used more frequently as it is natively supported by all web browsers – which is not the case for JPEG2000 and other advanced compression algorithms. Nevertheless, a good diagnostic thin client should always have a lossless compression option.
- 6.
Such as Motion C5t from www.motioncomputing.com
- 7.
- 8.
Part 18 of DICOM standard, ftp://medical.nema.org/medical/dicom/2006/06_18pu.pdf
- 9.
Medical Imaging Network Transport, https://code.google.com/p/medical-imaging-network-transport/
- 10.
We’ll discuss W/L more in the final part of this book.
- 11.
I’d like you to note this very important thing, which we touched upon in passing: with web viewing in particular, the choice of functionality may completely define the choice of implementation. This is why it’s so hard to improve an ill-designed web viewer: it may be easier to rewrite it from scratch, changing the underlying implementation.
- 12.
Some web viewers are smart enough to sense the size of the browser memory, so they know how many high-quality images can be prefetched.
- 13.
Never underestimate the inertia of hospital IT departments, which just love to run systems several years behind the market. The dinosaur computers you might find in the hospital’s “Jurassic Parks” may be extinct anywhere else.
References
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Hao, L. et al., 2012. Enhancing low-dose CT images in the EHR based on HTML5. s.l., s.n., pp. 97–100.
Langer, S. G., French, T. & Segovis, C., 2011. TCP/IP Optimization over Wide Area Networks: Implications for Teleradiology. J Digit Imaging, pp. 314–321.
Peterson, P. G. et al., 2012. Extreme Compression for Extreme Conditions: Pilot Study to Identify Optimal Compression of CT Images Using MPEG-4 Video Compression. J Digit Imaging, 25, pp. 764–770.
Pianykh, O. S., 2012. DICOM: A Practical Introduction and Survival Guide. Berlin, New York: Springer.
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Pianykh, O.S. (2014). Image Quality Online. In: Digital Image Quality in Medicine. Understanding Medical Informatics. Springer, Cham. https://doi.org/10.1007/978-3-319-01760-0_6
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