AUSTIN, Texas & CHICAGO, Illinois – April, 2017 — GradientD’s Daniel James, working in conjunction with VisMed3D‘s Dima Elissa, placed 3rd in the “Speedy CT Image Delivery” contest held by GE’s community sourced Fuse initiative, now known as Launch Forth. This contest challenged entrants to come up with innovative ways to losslessly compress CT scan (DCOM) image data better than could be done with JPEG2000.
DCOM image data, commonly used in medical and industrial applications, often needs to be transferred over the internet in time sensitive scenarios. Better compression means less to transfer, which leads to faster delivery of time-critical assets.
This team succeeded inventing a compression algorithm that could beat JPEG2000 in a number of applicable scenarios, especially with industrial applications, such as aircraft parts manufacture.
In the interest of retaining intellectual property rights to the invention, the team turned down the prize money, applied for a patent, and has been incubating and researching applications of the algorithm in the meantime.