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.

Register or login for access to this item and much more

All Information Management content is archived after seven days.

Community members receive:
  • All recent and archived articles
  • Conference offers and updates
  • A full menu of enewsletter options
  • Web seminars, white papers, ebooks

Don't have an account? Register for Free Unlimited Access