Researchers from the Texas Advanced Computing Center, the University of Texas Health Science Center and Philips Healthcare have developed a new, automated platform capable of real-time analyses of magnetic resonance imaging (MRI) scans in minutes, rather than hours or even days.
By leveraging the Stampede supercomputer at the University of Texas-Austin’s TACC, imaging capabilities of a Philips MRI scanner, as well as the TACC-developed Agave application programming interface, researchers were able to demonstrate the system's effectiveness in using a T1 mapping process, which converts raw data into useful imagery.
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