Executive Summary
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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