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VR Interfaces: REALiS Wux10 Mark II D Projector (DICOM Projector)
of REALiS Wux10 Mark II D Projector (DICOM Projector)
|DICOM, or Digital Imaging and Communications in Medicine is one of two standardised
image formats created to aid the distribution and viewing of medical images.
DICOM is used throughout North America, and is also used more further afield
to varying extents. It is one of two such standardised formats. The other is
the British developed PACS, or Picture Archiving and Communications System.
The two formats are not compatible directly compatible of course, but information
in each, can be converted to the other in a reliable, and predictable manner.
What is required is display devices capable of natively processing either DICOM
or PACS standard data.
Two such devices are the Canon projectors REALiS WUX10 Mark II D and REALiS
SX80 Mark II D. Both share the relatively unique feat for projector systems,
of being able to handle standardised medical images, with internal hardware
configured to interpret and correctly display the data.
As medical science becomes increasingly augmented by computerised capabilities
and it becomes possible to display patient data on many traditionally higher
interaction devices such as phones, PDAs, and surgical screens, so, the training
and general presentation side of things has been increasingly left out. Hopefully
these two projectors will encourage other manufacturers to include native image
The main advantage of DICOM mode in the case of the projectors, is that because
the projector understands what the varying levels of shading on the image actually
signify, the internal processor is able to dynamically reconfigure any data
displayed in that format, through what are currently 21 different shading options.
This involves recolouring the image at the projector level, as it is being displayed,
without having to manually alter the source files.
Thus, presentations can be adjusted on the fly, to show different aspects of
the image, and to account for varying light levels, by adjusting the contrast
of each part of the medical data independently.
This, the Wux10, is by far the more powerful, higher resolution model.