Utility of deep learning super-resolution in the context of osteoarthritis MRI biomarkers.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date:

Abstract

BACKGROUND: Super-resolution is an emerging method for enhancing MRI resolution; however, its impact on image quality is still unknown.

Authors

  • Akshay S Chaudhari
    Department of Radiology, Stanford University, Stanford, California.
  • Kathryn J Stevens
    Department of Radiology, Stanford University, Stanford, California.
  • Jeff P Wood
    Austin Radiological Association, Austin, Texas, USA.
  • Amit K Chakraborty
    Department of Radiology, Stanford University, Stanford, California, USA.
  • Eric K Gibbons
    Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah.
  • Zhongnan Fang
    LVIS Corporation, Palo Alto, California.
  • Arjun D Desai
    Department of Radiology, Stanford University, Stanford, California, USA.
  • Jin Hyung Lee
    Department of Bioengineering, Stanford University, Stanford, California.
  • Garry E Gold
    Department of Radiology, Stanford University, Stanford, California.
  • Brian A Hargreaves
    Department of Radiology, Stanford University, Stanford, California.