Meeting Banner
Abstract #0563

Image quality transfer: exploiting bespoke high-quality data to enhance everyday acquisitions

Daniel C. Alexander 1 , Darko Zikic 2 , Viktor Wottschel 3 , Jiaying Zhang 1 , Hui Zhang 1 , and Antonio Criminisi 2

1 Dept. Computer Science, University College London, London, London, United Kingdom, 2 Microsoft Research, Cambridge, United Kingdom, 3 Institute of Neurology, University College London, London, United Kingdom

Learning the low-level structure of images from high-quality bespoke data sets can substantially improve the content of images reconstructed from more everyday acquisitions. The abstract presents a method that achieves this and demonstrates it using diffusion MRI data from the human connectome project.

This abstract and the presentation materials are available to members only; a login is required.

Join Here