High dimensional geometry is transforming the MRI industry(2017) [pdf]
Summary
The Donoho presentation (2017) discusses how high-dimensional geometry informs MRI imaging, focusing on theoretical bounds and reconstruction capabilities from undersampled data. It highlights concepts related to compressed sensing and random geometry to explain when accurate MRI reconstructions are possible, with implications for faster and more efficient scans.