In 2017, a new magnetic resonance imaging (MRI) device by General Electric and Siemens entered the marketplace with an advertised 10-fold speedup over traditional MRI and the potential to impact 80 million MRI scans annually. This talk will discuss the applications and some of the mathematics behind this advance, coming from the field of “compressed sensing” that leverages higher-dimensional geometry in novel ways.
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DetailsPublic Lecture: David Donoho
David Donoho (Stanford University)
May 8, 2018
7:30 PM - 8:30 PM
485 Lasuen Mall
Stanford CA 94305