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Case Studies
With the ongoing advancement of image acquisition technologies utilized in healthcare, imaging datasets continue to get larger. Large runoff studies can easily reach 3,000 slices and multi-phase cardiac datasets now reach 10,000 slices. Loading such datasets can require a significant amount of time which may negatively impact patient care.

In order to reduce the time spent loading such datasets, a joint project was undertaken by Intel and Vital Images to leverage the potential of Vital Images' volumetric compression and the Intel Xeon processor 5500 series. Utilizing these technologies, dataset loading speeds exceeding 3,000 slices per second are achievable. The result is faster workflow and a positive impact on patient care.

"In critical patient care situations like a stroke, time is essential. Significant technology advancements like the Intel Xeon processor 5500 series combined with our Vitrea® fX brain perfusion application enable the fast processing of large amounts of image data to provide doctors with quantitative results related to patients' regional cerebral blood volume (rCBV), mean transit time (MTT) and regional cerebral blood flow (rCBF)." - Vikram Simha, Chief Technical Officer, Vital Images, Inc.

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The Royal Bournemouth Hospital was already using workstations from Vital Images for accessing clinical images from its existing Toshiba Aquilion 16 CT scanner, and was extremely impressed with the solution, as well as with the quality of Vital Images’ support. The hospital chose to upgrade to the Vitrea Enterprise Suite because it offered all the features that the hospital was looking for, and because of the hospital’s previous experience with Vital Images.


The hospital also chose the Vitrea Enterprise Suite because radiologists were already familiar and comfortable with Vital Images technology, and so would not have to learn a new system. The Vitrea Enterprise Suite also worked well with the Aquilion ONE. In addition, the ease of use of Vitrea Enterprise Suite would improve doctor productivity.


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