Fujifilm Demonstrates FDR D-EVO GL With Virtual Grid Image Processing Technology

STAMFORD, CT --- FUJIFILM Medical Systems U.S.A., Inc. will demonstrate the FDR D-EVO GL detector at the 2016 annual meeting of the Radiological Society of North America (RSNA), held November 27-December 2 at McCormick Place in Chicago, Illinois. Built to capture long-length digital images in a single exposure, the FDR D-EVO GL features Fujifilm's breakthrough Virtual Grid image processing. Depending on the exam type and patient, FDR D-EVO GL with Virtual Grid can produce images with contrast and clarity comparable to exams performed with a physical grid while requiring as little as half the dose. As of November, the FDR D-EVO GL is now shipping to customers nationwide.

FDR D-EVO GL features a 17 x 49" field of view; its wider format helps improve patient safety and lower dose with fewer repeats from anatomy cutoff. Compared to multiple exposure conventional long length DR imaging, GL's single exposure improves processes of care and simplifies exam time to improve patient experiences. Long length imaging has been one of the last holdout areas in transitioning to DR due to CR's single exposure acquisition; compared to CR the FDR D-EVO GL with Virtual Grid processing can lower dose and dramatically shorten time to acquire and display. Capture is instant and 34" – 49" images display in 18-24 sec., whereas with CR there is much added time for processing cassettes and imaging plates.

Virtual Grid image processing is a great complement to the FDR D-EVO GL and can be used for all body parts (except for breast imaging). In mobile imaging Virtual Grid gives technologists new flexibility to perform high-quality imaging while eliminating associated grid misalignment artifacts and retakes. It further simplifies positioning by eliminating heavy grid caps and making the detector more comfortable behind the patient. Virtual Grid automatically adapts processing to replicate physical grid use, enhancing image contrast. It also offers automated and selectable grid characteristics to further adapt to site preferences.

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