Conventional and deep-learning-based image reconstructions of undersampled k-space data of the lumbar spine using compressed sensing in mri: a comparative study on 20 subjects

HIGHLIGHTS

• who: Philipp Fervers and colleagues from the Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, Cologne, Germany have published the paper: Conventional and Deep-Learning-Based Image Reconstructions of Undersampled K-Space Data of the Lumbar Spine Using Compressed Sensing in MRI: A Comparative Study on 20 Subjects, in the Journal: Diagnostics 2023, 418 of 28/Nov/2022
• what: The aim of this study was to compare deep-learning-based MRI reconstructions with conventional reconstructions of a 3D T2 sequence of the lumbar spine in terms of subjective and objective . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.